Job Description: We are seeking an experienced Information Security Engineer with strong Microsoft Windows infrastructure expertise to support the delivery of air traffic control systems to our customers. This role will focus on the implementation of Windows-based platforms to provide a secure environment for other Saab software to run in. The ideal candidate will have hands-on experience with Windows Deployment Service, Active Directory, Group Policy management, network design, and hardware/software integration. This position plays a key role in implementing and deploying air traffic control systems for customers, ensuring Windows environments are configured to support our software while meeting safety and security regulations. This role requires both an independent drive to troubleshoot implementation and the ability to work collaboratively with teammates to integrate various system components. Key Responsibilities Architecture Design: Develop, document, and maintain comprehensive security architectures, network designs, and cloud infrastructures Risk & Vulnerability Management: Evaluate deliverable systems to identify weaknesses, perform security reviews, and execute ethical hacks or penetration tests. Leadership & Guidance: Lead information technology analysts, security engineers, and deployment teams to coordinate effective security protocols and align projects with security guidelines Design, implement, and manage Group Policy Objects (GPOs) to enforce security configurations and organizational standards within customer environments. Configure, administer, and harden Windows Server and Windows workstation systems as part of security solution deployments. Implement and maintain Active Directory security configurations, including user/group management, OU structures, and policy enforcement. Design and implement role-based access control (RBAC) and least-privilege access models. Deploy, configure, and manage endpoint protection and antivirus solutions. Apply system hardening practices aligned with industry security frameworks and best practices. Perform security assessments of Windows environments and implement remediation actions. Assist in creating secure configurations, patch processes, and compliance with security policies. Document system configurations, security controls, and deployment procedures for customer environments. Provide technical guidance and knowledge transfer to customer stakeholders when appropriate. Compensation Range: $101,600 - $132,000 The compensation range provided is a general guideline. When extending an offer, Saab, Inc. considers factors including (but not limited to) the role and associated responsibilities, location, and market and business considerations, as well as the candidate's work experience, key skills, and education/training. Skills and Experience: Required Qualifications Bachelor's degree in Systems Engineering, Computer Science, Information Technology, Information Security, or a related field (or equivalent experience). 6+ years of experience administering and securing Microsoft Windows environments. Strong hands-on experience with PowerShell scripting and automation. Proven experience creating and managing Windows domains, including development of Group Policy Objects and Active Directory structures. Experience integrating third-party software into Windows environments. Hands-on experience with Windows Deployment Services. Solid understanding of Windows security architecture and system hardening techniques. Preferred Qualifications Experience with PXE boot and BIOS configuration. Experience implementing role-based access control and identity management practices. Experience performing security assessments and remediation. Familiarity with security monitoring tools and SIEM platforms. Knowledge of security frameworks such as NIST, CIS Benchmarks, or ISO 27001. Relevant certifications such as: CompTIA Security+ CISSP Microsoft security or identity certifications GIAC certifications Key Skills Hardware/operating system/software integration Customer-facing technical delivery and documentation Windows security architecture Active Directory administration Group Policy design and implementation Endpoint security and antivirus management Identity and access management (IAM) System hardening and vulnerability remediation Security assessments and remediation Desired Tool Experience Experience with the following tools and applications is highly desirable. Microsoft Hyper-V Virtualization Splunk PDQ RSA Authentication Manager Citizenship Requirements: Must be a U.S. citizen. Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. Drug-Free Workplaces: Saab is a federal government contractor and adheres to policies and programs necessary for sustaining drug-free workplaces. As a condition of employment, candidates will be required to pass a pre-employment drug screen. Benefits: Saab provides an excellent working environment offering professional growth opportunities, competitive wages, work-life balance, a business casual atmosphere and comprehensive benefits. Highlights include: Medical, vision, and dental insurance for employees and dependents Generous paid time off, including 8 designated holidays 401(k) with employer contributions Tuition assistance and student loan assistance Wellness and employee assistance resources Employee stock purchase opportunities Short-term and long-term disability coverage About Us: Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. In the U.S., Saab delivers advanced technology and systems, supporting the U.S. Armed Forces and the Federal Aviation Administration, as well as international and commercial partners. Headquartered in Syracuse, New York, the company has business units and local employees in ten U.S. locations. Saab is a company where we see diversity as an asset and offer unlimited opportunities for advancing in your career. We are also a company that respects each person's needs and encourage employees to lead a balanced, rewarding life beyond work. Saab values diversity and is an Affirmative Action employer for protected veterans and individuals with disabilities. Saab is an Equal Employment Opportunity employer, all qualified individuals are encouraged to apply and will be considered for employment without regard to race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, age, veteran, disability status, or any other federal, state, or locally protected category.
09/29/2026
Full time
Job Description: We are seeking an experienced Information Security Engineer with strong Microsoft Windows infrastructure expertise to support the delivery of air traffic control systems to our customers. This role will focus on the implementation of Windows-based platforms to provide a secure environment for other Saab software to run in. The ideal candidate will have hands-on experience with Windows Deployment Service, Active Directory, Group Policy management, network design, and hardware/software integration. This position plays a key role in implementing and deploying air traffic control systems for customers, ensuring Windows environments are configured to support our software while meeting safety and security regulations. This role requires both an independent drive to troubleshoot implementation and the ability to work collaboratively with teammates to integrate various system components. Key Responsibilities Architecture Design: Develop, document, and maintain comprehensive security architectures, network designs, and cloud infrastructures Risk & Vulnerability Management: Evaluate deliverable systems to identify weaknesses, perform security reviews, and execute ethical hacks or penetration tests. Leadership & Guidance: Lead information technology analysts, security engineers, and deployment teams to coordinate effective security protocols and align projects with security guidelines Design, implement, and manage Group Policy Objects (GPOs) to enforce security configurations and organizational standards within customer environments. Configure, administer, and harden Windows Server and Windows workstation systems as part of security solution deployments. Implement and maintain Active Directory security configurations, including user/group management, OU structures, and policy enforcement. Design and implement role-based access control (RBAC) and least-privilege access models. Deploy, configure, and manage endpoint protection and antivirus solutions. Apply system hardening practices aligned with industry security frameworks and best practices. Perform security assessments of Windows environments and implement remediation actions. Assist in creating secure configurations, patch processes, and compliance with security policies. Document system configurations, security controls, and deployment procedures for customer environments. Provide technical guidance and knowledge transfer to customer stakeholders when appropriate. Compensation Range: $101,600 - $132,000 The compensation range provided is a general guideline. When extending an offer, Saab, Inc. considers factors including (but not limited to) the role and associated responsibilities, location, and market and business considerations, as well as the candidate's work experience, key skills, and education/training. Skills and Experience: Required Qualifications Bachelor's degree in Systems Engineering, Computer Science, Information Technology, Information Security, or a related field (or equivalent experience). 6+ years of experience administering and securing Microsoft Windows environments. Strong hands-on experience with PowerShell scripting and automation. Proven experience creating and managing Windows domains, including development of Group Policy Objects and Active Directory structures. Experience integrating third-party software into Windows environments. Hands-on experience with Windows Deployment Services. Solid understanding of Windows security architecture and system hardening techniques. Preferred Qualifications Experience with PXE boot and BIOS configuration. Experience implementing role-based access control and identity management practices. Experience performing security assessments and remediation. Familiarity with security monitoring tools and SIEM platforms. Knowledge of security frameworks such as NIST, CIS Benchmarks, or ISO 27001. Relevant certifications such as: CompTIA Security+ CISSP Microsoft security or identity certifications GIAC certifications Key Skills Hardware/operating system/software integration Customer-facing technical delivery and documentation Windows security architecture Active Directory administration Group Policy design and implementation Endpoint security and antivirus management Identity and access management (IAM) System hardening and vulnerability remediation Security assessments and remediation Desired Tool Experience Experience with the following tools and applications is highly desirable. Microsoft Hyper-V Virtualization Splunk PDQ RSA Authentication Manager Citizenship Requirements: Must be a U.S. citizen. Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. Drug-Free Workplaces: Saab is a federal government contractor and adheres to policies and programs necessary for sustaining drug-free workplaces. As a condition of employment, candidates will be required to pass a pre-employment drug screen. Benefits: Saab provides an excellent working environment offering professional growth opportunities, competitive wages, work-life balance, a business casual atmosphere and comprehensive benefits. Highlights include: Medical, vision, and dental insurance for employees and dependents Generous paid time off, including 8 designated holidays 401(k) with employer contributions Tuition assistance and student loan assistance Wellness and employee assistance resources Employee stock purchase opportunities Short-term and long-term disability coverage About Us: Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. In the U.S., Saab delivers advanced technology and systems, supporting the U.S. Armed Forces and the Federal Aviation Administration, as well as international and commercial partners. Headquartered in Syracuse, New York, the company has business units and local employees in ten U.S. locations. Saab is a company where we see diversity as an asset and offer unlimited opportunities for advancing in your career. We are also a company that respects each person's needs and encourage employees to lead a balanced, rewarding life beyond work. Saab values diversity and is an Affirmative Action employer for protected veterans and individuals with disabilities. Saab is an Equal Employment Opportunity employer, all qualified individuals are encouraged to apply and will be considered for employment without regard to race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, age, veteran, disability status, or any other federal, state, or locally protected category.
It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: Santander's Corporate & Investment Banking (CIB) business is seeking an experienced PolyPath Market Risk Specialist with strong technical and business knowledge to support pricing, valuation, and market risk activities within a large banking or capital markets environment. The ideal candidate will have deep expertise in PolyPath, strong hands-on programming skills in Python and Java, and solid knowledge of fixed income products, particularly structured products such as Mortgage-Backed Securities, Collateralized Mortgage Obligations, and other securitized fixed income instruments. Candidate should understand both the business side of market risk and the technical side of supporting large-scale financial systems. They should be comfortable working with traders, risk managers, quants, model teams, developers, and infrastructure teams. This role requires someone who can work closely with front office, risk, finance, model, and technology teams to support risk models, valuation tools, pricing workflows, and market risk systems. Key Responsibilities Support and enhance PolyPath platform capabilities used for pricing, valuation, trading, and market risk workflows. Partner with business, risk, model, and technology teams to translate complex market risk and fixed income requirements into scalable technical solutions. Support market risk processes including sensitivities, stress testing, scenario analysis, VaR, pricing, and valuation workflows. Work with fixed income and structured products, including: Mortgage-Backed Securities Collateralized Mortgage Obligations Asset-backed or securitized products Other structured fixed income instruments Develop, enhance, and troubleshoot applications, scripts, and integration components using Python and Java. Support pricing pipelines, risk data flows, market data integration, and valuation processes within the PolyPath ecosystem. Analyze system issues, performance bottlenecks, data discrepancies, and production incidents related to PolyPath and downstream risk systems. Collaborate with front office, risk, finance, infrastructure, and application development teams to ensure accurate and timely delivery of risk analytics. Support migration, modernization, and integration initiatives involving legacy trading or risk systems and PolyPath architecture. Improve platform stability through automation, monitoring, alerting, and issue resolution processes. . What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education: Bachelor's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required Qualifications: Expert-level knowledge of PolyPath. Strong experience in market risk, preferably within banking or capital markets. Strong programming skills in Python and Java. Solid understanding of fixed income products, pricing, valuation, and risk analytics. Experience supporting risk models, valuation tools, pricing engines, or market risk platforms. Ability to troubleshoot complex system, data, and pricing issues across multiple technology platforms. Strong analytical skills with the ability to explain technical and market risk concepts clearly to both business and technology teams. Experience working in a large banking, financial services, or regulated financial institution environment. 10+ years of experience in banking, capital markets, financial technology, or market risk technology preferred. Preferred Qualifications Experience working directly with front office, market risk, finance, model validation, or quantitative teams. Strong knowledge of structured fixed income products, especially: MBS CMO ABS Securitized products Understanding of: Pricing Valuation Sensitivities Stress testing VaR Scenario analysis Yield curves Risk factors Market data Experience with system integration using APIs, messaging frameworks, batch processes, or data pipelines. Experience supporting real-time or high-volume capital markets platforms. Strong production support, issue management, and root-cause analysis experience. It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. Work Authorization & Sponsorship: Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $175,000.00 USD Maximum: $220,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.
09/29/2026
Full time
It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: Santander's Corporate & Investment Banking (CIB) business is seeking an experienced PolyPath Market Risk Specialist with strong technical and business knowledge to support pricing, valuation, and market risk activities within a large banking or capital markets environment. The ideal candidate will have deep expertise in PolyPath, strong hands-on programming skills in Python and Java, and solid knowledge of fixed income products, particularly structured products such as Mortgage-Backed Securities, Collateralized Mortgage Obligations, and other securitized fixed income instruments. Candidate should understand both the business side of market risk and the technical side of supporting large-scale financial systems. They should be comfortable working with traders, risk managers, quants, model teams, developers, and infrastructure teams. This role requires someone who can work closely with front office, risk, finance, model, and technology teams to support risk models, valuation tools, pricing workflows, and market risk systems. Key Responsibilities Support and enhance PolyPath platform capabilities used for pricing, valuation, trading, and market risk workflows. Partner with business, risk, model, and technology teams to translate complex market risk and fixed income requirements into scalable technical solutions. Support market risk processes including sensitivities, stress testing, scenario analysis, VaR, pricing, and valuation workflows. Work with fixed income and structured products, including: Mortgage-Backed Securities Collateralized Mortgage Obligations Asset-backed or securitized products Other structured fixed income instruments Develop, enhance, and troubleshoot applications, scripts, and integration components using Python and Java. Support pricing pipelines, risk data flows, market data integration, and valuation processes within the PolyPath ecosystem. Analyze system issues, performance bottlenecks, data discrepancies, and production incidents related to PolyPath and downstream risk systems. Collaborate with front office, risk, finance, infrastructure, and application development teams to ensure accurate and timely delivery of risk analytics. Support migration, modernization, and integration initiatives involving legacy trading or risk systems and PolyPath architecture. Improve platform stability through automation, monitoring, alerting, and issue resolution processes. . What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education: Bachelor's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required Qualifications: Expert-level knowledge of PolyPath. Strong experience in market risk, preferably within banking or capital markets. Strong programming skills in Python and Java. Solid understanding of fixed income products, pricing, valuation, and risk analytics. Experience supporting risk models, valuation tools, pricing engines, or market risk platforms. Ability to troubleshoot complex system, data, and pricing issues across multiple technology platforms. Strong analytical skills with the ability to explain technical and market risk concepts clearly to both business and technology teams. Experience working in a large banking, financial services, or regulated financial institution environment. 10+ years of experience in banking, capital markets, financial technology, or market risk technology preferred. Preferred Qualifications Experience working directly with front office, market risk, finance, model validation, or quantitative teams. Strong knowledge of structured fixed income products, especially: MBS CMO ABS Securitized products Understanding of: Pricing Valuation Sensitivities Stress testing VaR Scenario analysis Yield curves Risk factors Market data Experience with system integration using APIs, messaging frameworks, batch processes, or data pipelines. Experience supporting real-time or high-volume capital markets platforms. Strong production support, issue management, and root-cause analysis experience. It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. Work Authorization & Sponsorship: Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $175,000.00 USD Maximum: $220,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.
It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: Santander's Corporate & Investment Banking (CIB) business is seeking an experienced PolyPath Market Risk Specialist with strong technical and business knowledge to support pricing, valuation, and market risk activities within a large banking or capital markets environment. The ideal candidate will have deep expertise in PolyPath, strong hands-on programming skills in Python and Java, and solid knowledge of fixed income products, particularly structured products such as Mortgage-Backed Securities, Collateralized Mortgage Obligations, and other securitized fixed income instruments. Candidate should understand both the business side of market risk and the technical side of supporting large-scale financial systems. They should be comfortable working with traders, risk managers, quants, model teams, developers, and infrastructure teams. This role requires someone who can work closely with front office, risk, finance, model, and technology teams to support risk models, valuation tools, pricing workflows, and market risk systems. Key Responsibilities Support and enhance PolyPath platform capabilities used for pricing, valuation, trading, and market risk workflows. Partner with business, risk, model, and technology teams to translate complex market risk and fixed income requirements into scalable technical solutions. Support market risk processes including sensitivities, stress testing, scenario analysis, VaR, pricing, and valuation workflows. Work with fixed income and structured products, including: Mortgage-Backed Securities Collateralized Mortgage Obligations Asset-backed or securitized products Other structured fixed income instruments Develop, enhance, and troubleshoot applications, scripts, and integration components using Python and Java. Support pricing pipelines, risk data flows, market data integration, and valuation processes within the PolyPath ecosystem. Analyze system issues, performance bottlenecks, data discrepancies, and production incidents related to PolyPath and downstream risk systems. Collaborate with front office, risk, finance, infrastructure, and application development teams to ensure accurate and timely delivery of risk analytics. Support migration, modernization, and integration initiatives involving legacy trading or risk systems and PolyPath architecture. Improve platform stability through automation, monitoring, alerting, and issue resolution processes. . What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education: Bachelor's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required Qualifications: Expert-level knowledge of PolyPath. Strong experience in market risk, preferably within banking or capital markets. Strong programming skills in Python and Java. Solid understanding of fixed income products, pricing, valuation, and risk analytics. Experience supporting risk models, valuation tools, pricing engines, or market risk platforms. Ability to troubleshoot complex system, data, and pricing issues across multiple technology platforms. Strong analytical skills with the ability to explain technical and market risk concepts clearly to both business and technology teams. Experience working in a large banking, financial services, or regulated financial institution environment. 10+ years of experience in banking, capital markets, financial technology, or market risk technology preferred. Preferred Qualifications Experience working directly with front office, market risk, finance, model validation, or quantitative teams. Strong knowledge of structured fixed income products, especially: MBS CMO ABS Securitized products Understanding of: Pricing Valuation Sensitivities Stress testing VaR Scenario analysis Yield curves Risk factors Market data Experience with system integration using APIs, messaging frameworks, batch processes, or data pipelines. Experience supporting real-time or high-volume capital markets platforms. Strong production support, issue management, and root-cause analysis experience. It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. Work Authorization & Sponsorship: Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $175,000.00 USD Maximum: $220,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.
09/29/2026
Full time
It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: Santander's Corporate & Investment Banking (CIB) business is seeking an experienced PolyPath Market Risk Specialist with strong technical and business knowledge to support pricing, valuation, and market risk activities within a large banking or capital markets environment. The ideal candidate will have deep expertise in PolyPath, strong hands-on programming skills in Python and Java, and solid knowledge of fixed income products, particularly structured products such as Mortgage-Backed Securities, Collateralized Mortgage Obligations, and other securitized fixed income instruments. Candidate should understand both the business side of market risk and the technical side of supporting large-scale financial systems. They should be comfortable working with traders, risk managers, quants, model teams, developers, and infrastructure teams. This role requires someone who can work closely with front office, risk, finance, model, and technology teams to support risk models, valuation tools, pricing workflows, and market risk systems. Key Responsibilities Support and enhance PolyPath platform capabilities used for pricing, valuation, trading, and market risk workflows. Partner with business, risk, model, and technology teams to translate complex market risk and fixed income requirements into scalable technical solutions. Support market risk processes including sensitivities, stress testing, scenario analysis, VaR, pricing, and valuation workflows. Work with fixed income and structured products, including: Mortgage-Backed Securities Collateralized Mortgage Obligations Asset-backed or securitized products Other structured fixed income instruments Develop, enhance, and troubleshoot applications, scripts, and integration components using Python and Java. Support pricing pipelines, risk data flows, market data integration, and valuation processes within the PolyPath ecosystem. Analyze system issues, performance bottlenecks, data discrepancies, and production incidents related to PolyPath and downstream risk systems. Collaborate with front office, risk, finance, infrastructure, and application development teams to ensure accurate and timely delivery of risk analytics. Support migration, modernization, and integration initiatives involving legacy trading or risk systems and PolyPath architecture. Improve platform stability through automation, monitoring, alerting, and issue resolution processes. . What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education: Bachelor's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required Qualifications: Expert-level knowledge of PolyPath. Strong experience in market risk, preferably within banking or capital markets. Strong programming skills in Python and Java. Solid understanding of fixed income products, pricing, valuation, and risk analytics. Experience supporting risk models, valuation tools, pricing engines, or market risk platforms. Ability to troubleshoot complex system, data, and pricing issues across multiple technology platforms. Strong analytical skills with the ability to explain technical and market risk concepts clearly to both business and technology teams. Experience working in a large banking, financial services, or regulated financial institution environment. 10+ years of experience in banking, capital markets, financial technology, or market risk technology preferred. Preferred Qualifications Experience working directly with front office, market risk, finance, model validation, or quantitative teams. Strong knowledge of structured fixed income products, especially: MBS CMO ABS Securitized products Understanding of: Pricing Valuation Sensitivities Stress testing VaR Scenario analysis Yield curves Risk factors Market data Experience with system integration using APIs, messaging frameworks, batch processes, or data pipelines. Experience supporting real-time or high-volume capital markets platforms. Strong production support, issue management, and root-cause analysis experience. It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. Work Authorization & Sponsorship: Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $175,000.00 USD Maximum: $220,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.
AI Engineer 5 (MLXT) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details
09/29/2026
Full time
AI Engineer 5 (MLXT) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details
AI Engineer 4 (MLX) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/29/2026
Full time
AI Engineer 4 (MLX) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
AI Engineer 5 (MLXT) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details
09/29/2026
Full time
AI Engineer 5 (MLXT) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details
Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/29/2026
Full time
Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/29/2026
Full time
Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
AI Engineer 4 (MLX) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/29/2026
Full time
AI Engineer 4 (MLX) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
JOB SUMMARY Responsible for building the negotiation fact base and conducting negotiations with suppliers for specified categories as part of the category management process. Responsible for managing ongoing cost base and supplier relationship activities, such as; cost changes, earned income programs and contract cost agreements for all Corporate managed suppliers. RESPONSIBILITIES: Sourcing: Negotiate the net cost and Earned Income programs for assigned categories/suppliers. Negotiate, prepare and present supplier award recommendations to senior sourcing leadership. Communicate the results of negotiation activities. Conduct on-going sourcing activities that support the category post-award. Manage and validate steady-state change requests. Develop industry overviews and supplier profiles for each assigned category. Create cost component worksheets for supplier clean-sheet cost buildup. Ensure legal documentation is completed (Hold Harmless, Certificate of Insurance, Supplier Authorization Agreement, Bid Award Purchase Agreement, Terms Change Form). Continually identify new suppliers and initiate the process to engage them. Engage suppliers and refine supplier/product fact base throughout the category management process. Coach suppliers throughout the category process to ensure active participation. Performs strategic sourcing function for specified categories including negotiating, finding and onboarding new suppliers, conflict resolution and problem-solving. Product Cost Management : Negotiate ongoing cost-based activities such as cost changes, program alterations, Earned Income program expirations, and category renewals/extensions. Effectively manages all Supplier initiated price changes by performing complex cost analyses that leverage industry/market data, clean sheet cost build-ups, specific cost component indices, and internal stakeholders to effectively manage Sysco's product costs. Generates required approval form(s) that contain detailed analysis and appropriate levels of supporting data to obtain leadership approval. Manages the implementation of cost changes by working cross-functionally with the Costing Team and Supplier to ensure correct pricing is loaded. Reviews variance reports and resolves any exceptions with suppliers. Works cross-functionally with the Category Director/Manager and the Transfer Price Team, as required, to provide market insight to establish effective transfer pricing. Ensures proper notice of cost adjustments is received by the Supplier and provided to Operating Companies. Manages the effective use of the database of Suppliers' price increases and seeks opportunities for price decreases. Product Program Management: Negotiates new programs with suppliers, using market data and established programs for comparable items to set acceptable earned income rates. Re-negotiates expiring and/or expired program agreements to maintain or enhance profitability. Negotiates program agreements to cover supplier payments for products purchased through DOT. Negotiates the centralization and standardization of Local programs into the corporate programs for all corporately managed suppliers. Generates and negotiates the required agreement form(s) and obtains leadership approval. Works cross-functionally with Agreements Team and Costing to ensure any new or renewed rates match the Supplier's system pricing. Ensures all agreements for corporate managed Suppliers are loaded into the Ariba database. Supplier Management : Contacts suppliers regarding delinquent monthly earned income payments; communicates updates to A/R team and escalates issues to appropriate Strategic Sourcing leadership. Financial Issue Resolution Support: Resolves pricing inaccuracies and AR/AP issues as needed. Additional tasks as required to achieve business results. QUALIFICATIONS: Education Bachelor's degree preferred or applicable experience in merchandising, pricing and/or customer service Experience 7 years Sysco merchandising, pricing and/or customer service experience or equivalent combination of education and industry (foodservice or retail) experience. Master's degree a plus. Track record of fact-based negotiation skills. Solid understanding and utilization of the RFX sourcing process. Highly skilled in data analysis. Knowledge of product and production processes. Understanding of supply chain principals and dynamics. Understanding of the dynamics of supply and demand. Requires excellent Microsoft Excel skill sets, specifically V lookups, manipulating pivot tables, filtering, and sorting functions. Knowledge of mainframe systems/ programs, such as AS240, RME, Tableau, etc., a plus. Ability to effectively collect and use market data to efficiently manage cost. Excellent verbal and written communication skills. Ability to effectively work in a Matrix organization. Project management background a plus. Intrinsic Characteristics Analytical thinker who can pull disparate pieces of data together to form a coherent story. Project management style mindset to manage suppliers through the sourcing process. Ability to effectively balance relationships with suppliers and internal organization. Collaborative team player who can work across functions (e.g., Analytics, Category Leadership, Supply Chain, etc.) to deliver results. Ability to work on multiple projects in a fast-paced environment, adapt to shifting priorities, and be very detail-oriented. Knowledge-driven individual who can quickly build category understanding. Proactive communicator with exceptional communication and presentation skills. (both oral and written) Strong bias for action (self-starter). Physical Demands The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of this job. While performing the duties of this job, the associate is regularly required to sit, stand, walk and use hands and fingers to operate a computer keyboard, mouse, and telephone to talk and hear. The associate is frequently required to sit and reach with hands and arms. The associate must occasionally lift and/or move up to 20 pounds. Work Environment This position must be performed from the corporate facility in Houston, Texas. Must be able to do limited travel to Sysco facilities or operating companies. The work environment characteristics described here are representative of those associate encounters while performing the essential functions of this job. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of this job. The noise level in the work environment is usually moderate. NOTICE: The above statements are intended to describe the general nature of the environment and the level of work being performed by this job. This job description in no way states or implies that these are the only tasks to be performed by the employee in this job. He or she will be required to follow any other instructions and to perform any other job-related duties requested by his or her supervisor. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions. This job description supersedes prior job descriptions.
09/29/2026
Full time
JOB SUMMARY Responsible for building the negotiation fact base and conducting negotiations with suppliers for specified categories as part of the category management process. Responsible for managing ongoing cost base and supplier relationship activities, such as; cost changes, earned income programs and contract cost agreements for all Corporate managed suppliers. RESPONSIBILITIES: Sourcing: Negotiate the net cost and Earned Income programs for assigned categories/suppliers. Negotiate, prepare and present supplier award recommendations to senior sourcing leadership. Communicate the results of negotiation activities. Conduct on-going sourcing activities that support the category post-award. Manage and validate steady-state change requests. Develop industry overviews and supplier profiles for each assigned category. Create cost component worksheets for supplier clean-sheet cost buildup. Ensure legal documentation is completed (Hold Harmless, Certificate of Insurance, Supplier Authorization Agreement, Bid Award Purchase Agreement, Terms Change Form). Continually identify new suppliers and initiate the process to engage them. Engage suppliers and refine supplier/product fact base throughout the category management process. Coach suppliers throughout the category process to ensure active participation. Performs strategic sourcing function for specified categories including negotiating, finding and onboarding new suppliers, conflict resolution and problem-solving. Product Cost Management : Negotiate ongoing cost-based activities such as cost changes, program alterations, Earned Income program expirations, and category renewals/extensions. Effectively manages all Supplier initiated price changes by performing complex cost analyses that leverage industry/market data, clean sheet cost build-ups, specific cost component indices, and internal stakeholders to effectively manage Sysco's product costs. Generates required approval form(s) that contain detailed analysis and appropriate levels of supporting data to obtain leadership approval. Manages the implementation of cost changes by working cross-functionally with the Costing Team and Supplier to ensure correct pricing is loaded. Reviews variance reports and resolves any exceptions with suppliers. Works cross-functionally with the Category Director/Manager and the Transfer Price Team, as required, to provide market insight to establish effective transfer pricing. Ensures proper notice of cost adjustments is received by the Supplier and provided to Operating Companies. Manages the effective use of the database of Suppliers' price increases and seeks opportunities for price decreases. Product Program Management: Negotiates new programs with suppliers, using market data and established programs for comparable items to set acceptable earned income rates. Re-negotiates expiring and/or expired program agreements to maintain or enhance profitability. Negotiates program agreements to cover supplier payments for products purchased through DOT. Negotiates the centralization and standardization of Local programs into the corporate programs for all corporately managed suppliers. Generates and negotiates the required agreement form(s) and obtains leadership approval. Works cross-functionally with Agreements Team and Costing to ensure any new or renewed rates match the Supplier's system pricing. Ensures all agreements for corporate managed Suppliers are loaded into the Ariba database. Supplier Management : Contacts suppliers regarding delinquent monthly earned income payments; communicates updates to A/R team and escalates issues to appropriate Strategic Sourcing leadership. Financial Issue Resolution Support: Resolves pricing inaccuracies and AR/AP issues as needed. Additional tasks as required to achieve business results. QUALIFICATIONS: Education Bachelor's degree preferred or applicable experience in merchandising, pricing and/or customer service Experience 7 years Sysco merchandising, pricing and/or customer service experience or equivalent combination of education and industry (foodservice or retail) experience. Master's degree a plus. Track record of fact-based negotiation skills. Solid understanding and utilization of the RFX sourcing process. Highly skilled in data analysis. Knowledge of product and production processes. Understanding of supply chain principals and dynamics. Understanding of the dynamics of supply and demand. Requires excellent Microsoft Excel skill sets, specifically V lookups, manipulating pivot tables, filtering, and sorting functions. Knowledge of mainframe systems/ programs, such as AS240, RME, Tableau, etc., a plus. Ability to effectively collect and use market data to efficiently manage cost. Excellent verbal and written communication skills. Ability to effectively work in a Matrix organization. Project management background a plus. Intrinsic Characteristics Analytical thinker who can pull disparate pieces of data together to form a coherent story. Project management style mindset to manage suppliers through the sourcing process. Ability to effectively balance relationships with suppliers and internal organization. Collaborative team player who can work across functions (e.g., Analytics, Category Leadership, Supply Chain, etc.) to deliver results. Ability to work on multiple projects in a fast-paced environment, adapt to shifting priorities, and be very detail-oriented. Knowledge-driven individual who can quickly build category understanding. Proactive communicator with exceptional communication and presentation skills. (both oral and written) Strong bias for action (self-starter). Physical Demands The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of this job. While performing the duties of this job, the associate is regularly required to sit, stand, walk and use hands and fingers to operate a computer keyboard, mouse, and telephone to talk and hear. The associate is frequently required to sit and reach with hands and arms. The associate must occasionally lift and/or move up to 20 pounds. Work Environment This position must be performed from the corporate facility in Houston, Texas. Must be able to do limited travel to Sysco facilities or operating companies. The work environment characteristics described here are representative of those associate encounters while performing the essential functions of this job. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of this job. The noise level in the work environment is usually moderate. NOTICE: The above statements are intended to describe the general nature of the environment and the level of work being performed by this job. This job description in no way states or implies that these are the only tasks to be performed by the employee in this job. He or she will be required to follow any other instructions and to perform any other job-related duties requested by his or her supervisor. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions. This job description supersedes prior job descriptions.
Please read all the requirements for the GeoWorkforce Associate I position listed below Cover Letter Requirement : A cover letter must be submitted along with your resume. Applications submitted without a cover letter will not be considered. Note: If applying through Indeed and unable to upload a cover letter, please email your cover letter to after submitting your application. Application Limit : This posting will close after the first 100 qualified applications have been received. Work Authorization : EarthScope Consortium Inc. is not able to sponsor employment visas for this position. Work Location Eligibility : Applicants must be authorized to work and physically reside within the 50 United States. EarthScope is only able to employ individuals working within these states. Job Title: GeoWorkforce Associate I Reports to: Engagement Manager Travel Requirements: up to 20% Employment/FLSA Status: Full-Time/Exempt Remote Eligible: Yes, National, United States Salary Range: $72,450 - $82,800 (depending on experience, skills, and qualifications relative to the job requirements) Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 403(b) Plan with Company Match Life Insurance PTO, Paid Holidays Position Summary The GeoWorkforce Associate I is responsible for implementing efforts to support workforce development activities in the geosciences. The incumbent will implement elements of the geo-workforce initiative which facilitates the development of a robust, well-trained geoscience workforce with the knowledge, skills, and abilities to tackle emerging scientific and societal issues. Details of Responsibilities General Essential Job Duties: Implement geophysics workforce programming and products designed to: Identify and attract potential geophysicists, prepare, enhance the skills of, and retain geophysicists, and increase the geophysics and geoscience workforce Ensure that workforce programming supports the needs of all participants Implementrecruitment strategies that effectively promote our workforce development programs and attract qualified candidates to become part of the geophysics and geosciences workforce. Carry out established processes and procedures for evaluation of workforce programming and products Collaborate with partner organizations to advance geoscience and geophysics workforce priorities Support the preparation of publications to document workforce projects and their impacts Support students, lead workforce programming, and present work results at conferences. Support internship alumni via an active and vibrant alumni network. Maintain online presence for workforce activities within the organization. Other duties may be assigned as necessary for the successful operation of the business. Specialized Essential Duties: Execute programming for early career geoscientists/geophysicists in collaboration with partner organizations. Partner with the communications team to regularly communicate initiatives, events and progress. Leadership and Supervisory Responsibilities: This position does not have supervisory responsibility. Interacts effectively and efficiently with staff, community and partnering organizations. Provides managerial direction to interns and volunteers. Foster a professional culture through the use of strong interpersonal skills, and verbal and written communications. Communicate clearly and effectively with other team members to ensure tasks are completed on time and with best practices. Promotes and fosters a respectful environment for program participants. Qualifications Minimum Education & Experience Requirements: Bachelor's degree or equivalent professional experience. Preferred Skills: Master's degree, PhD or equivalent in geosciences, or related field. Bilingual; Spanish highly desired. Participation in science internship as a student. Life experience that assists in relating to program participants. Assignment-specific Position Summary Positions in Engagement Services will include job specific addenda that specify assignment-specific duties, knowledge, skills and abilities pertinent to the position. This is in addition to the general Position Description requirements associated with the job title. Assignment-specific Essential Duties: Support the RESESS and GLP internship programs by: Assisting with participant recruitment, application processes, intern communications, and onboarding activities. Contributing to internship operations, including participant travel, participant payments, professional development activities, and evaluation processes. Assisting with intern and alumni engagement activities, including maintaining participant records and facilitating connections to future opportunities. Contribute to other workforce programming as needed, which may include the Career internship program, Field School 1 (introductory program to introduce 2YC students to geophysics), Field School 3 (designed to broaden the facility's user base by training graduate students and early career faculty, from communities adjacent to geophysics, to use facility equipment and data), and/or other programming for early career faculty. Represent workforce programs at conferences, meetings, and recruitment events as assigned. Other duties may be assigned as necessary for the successful operation of the business. Assignment-specific Knowledge, Skills, & Abilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability for the position: Knowledge of Google suite of tools Strong spreadsheet and data management skills Experience supporting initiatives that help learners develop applied skills. Ability to coordinate schedules, communications, and program logistics across multiple stakeholders. Familiarity with project implementation, data collection, reporting activities, or budget tracking. Knowledge, Skills, & Abilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability for the position: Experience conducting scientific research. Experience in supporting a wide variety of program participants. Ability to work in a team-oriented environment with diverse members and different communication styles. Excellent written and verbal communication skills, the ability to present to diverse audiences, and ability to translate science for nonscientific audiences. Ability to establish and maintain effective working relationships with those contacted in the course of this work and exhibit sensitivity to and understanding of a respectful workplace. Self-motivated, excellent interpersonal and organizational skills, including demonstrated success in interactions with peers, scientists, students, media, and the public. Ability to exercise independent judgment and interact effectively with internal and external partners and customers. Ability to manage multiple projects and prioritize work tasks. Familiar with WordPress or similar content management system. Knowledge of geophysics or geosciences. Ability to understand moderately complex problems, collaborate and explore alternative solutions. Ability to organize and prioritize work schedules for self and interns. Ability to effectively orally communicate technical topics to non-technical audiences. Ability to communicate effectively in writing including letters, reports and summaries. Ability to compute, analyze and interpret numerical data. Ability to make decisions which have moderate impact on the job function and the organization. Other Requirements: Appropriate availability consistent with EarthScope established practices and norms; hours may exceed 40 hours per week, particularly when traveling. Environment Physical Setting and Requirements: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. PHYSICAL DEMANDS AND WORK ENVIRONMENT: Occasionally required to stand. Occasionally required to walk. Frequently required to sit. Continually required to utilize hand and finger dexterity. Occasionally required to talk and/or hear. While performing the duties of this job, the noise level in the work environment is usually quiet. Occasionally required to lift and /or move more than 25 pounds. . click apply for full job details
09/29/2026
Full time
Please read all the requirements for the GeoWorkforce Associate I position listed below Cover Letter Requirement : A cover letter must be submitted along with your resume. Applications submitted without a cover letter will not be considered. Note: If applying through Indeed and unable to upload a cover letter, please email your cover letter to after submitting your application. Application Limit : This posting will close after the first 100 qualified applications have been received. Work Authorization : EarthScope Consortium Inc. is not able to sponsor employment visas for this position. Work Location Eligibility : Applicants must be authorized to work and physically reside within the 50 United States. EarthScope is only able to employ individuals working within these states. Job Title: GeoWorkforce Associate I Reports to: Engagement Manager Travel Requirements: up to 20% Employment/FLSA Status: Full-Time/Exempt Remote Eligible: Yes, National, United States Salary Range: $72,450 - $82,800 (depending on experience, skills, and qualifications relative to the job requirements) Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 403(b) Plan with Company Match Life Insurance PTO, Paid Holidays Position Summary The GeoWorkforce Associate I is responsible for implementing efforts to support workforce development activities in the geosciences. The incumbent will implement elements of the geo-workforce initiative which facilitates the development of a robust, well-trained geoscience workforce with the knowledge, skills, and abilities to tackle emerging scientific and societal issues. Details of Responsibilities General Essential Job Duties: Implement geophysics workforce programming and products designed to: Identify and attract potential geophysicists, prepare, enhance the skills of, and retain geophysicists, and increase the geophysics and geoscience workforce Ensure that workforce programming supports the needs of all participants Implementrecruitment strategies that effectively promote our workforce development programs and attract qualified candidates to become part of the geophysics and geosciences workforce. Carry out established processes and procedures for evaluation of workforce programming and products Collaborate with partner organizations to advance geoscience and geophysics workforce priorities Support the preparation of publications to document workforce projects and their impacts Support students, lead workforce programming, and present work results at conferences. Support internship alumni via an active and vibrant alumni network. Maintain online presence for workforce activities within the organization. Other duties may be assigned as necessary for the successful operation of the business. Specialized Essential Duties: Execute programming for early career geoscientists/geophysicists in collaboration with partner organizations. Partner with the communications team to regularly communicate initiatives, events and progress. Leadership and Supervisory Responsibilities: This position does not have supervisory responsibility. Interacts effectively and efficiently with staff, community and partnering organizations. Provides managerial direction to interns and volunteers. Foster a professional culture through the use of strong interpersonal skills, and verbal and written communications. Communicate clearly and effectively with other team members to ensure tasks are completed on time and with best practices. Promotes and fosters a respectful environment for program participants. Qualifications Minimum Education & Experience Requirements: Bachelor's degree or equivalent professional experience. Preferred Skills: Master's degree, PhD or equivalent in geosciences, or related field. Bilingual; Spanish highly desired. Participation in science internship as a student. Life experience that assists in relating to program participants. Assignment-specific Position Summary Positions in Engagement Services will include job specific addenda that specify assignment-specific duties, knowledge, skills and abilities pertinent to the position. This is in addition to the general Position Description requirements associated with the job title. Assignment-specific Essential Duties: Support the RESESS and GLP internship programs by: Assisting with participant recruitment, application processes, intern communications, and onboarding activities. Contributing to internship operations, including participant travel, participant payments, professional development activities, and evaluation processes. Assisting with intern and alumni engagement activities, including maintaining participant records and facilitating connections to future opportunities. Contribute to other workforce programming as needed, which may include the Career internship program, Field School 1 (introductory program to introduce 2YC students to geophysics), Field School 3 (designed to broaden the facility's user base by training graduate students and early career faculty, from communities adjacent to geophysics, to use facility equipment and data), and/or other programming for early career faculty. Represent workforce programs at conferences, meetings, and recruitment events as assigned. Other duties may be assigned as necessary for the successful operation of the business. Assignment-specific Knowledge, Skills, & Abilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability for the position: Knowledge of Google suite of tools Strong spreadsheet and data management skills Experience supporting initiatives that help learners develop applied skills. Ability to coordinate schedules, communications, and program logistics across multiple stakeholders. Familiarity with project implementation, data collection, reporting activities, or budget tracking. Knowledge, Skills, & Abilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability for the position: Experience conducting scientific research. Experience in supporting a wide variety of program participants. Ability to work in a team-oriented environment with diverse members and different communication styles. Excellent written and verbal communication skills, the ability to present to diverse audiences, and ability to translate science for nonscientific audiences. Ability to establish and maintain effective working relationships with those contacted in the course of this work and exhibit sensitivity to and understanding of a respectful workplace. Self-motivated, excellent interpersonal and organizational skills, including demonstrated success in interactions with peers, scientists, students, media, and the public. Ability to exercise independent judgment and interact effectively with internal and external partners and customers. Ability to manage multiple projects and prioritize work tasks. Familiar with WordPress or similar content management system. Knowledge of geophysics or geosciences. Ability to understand moderately complex problems, collaborate and explore alternative solutions. Ability to organize and prioritize work schedules for self and interns. Ability to effectively orally communicate technical topics to non-technical audiences. Ability to communicate effectively in writing including letters, reports and summaries. Ability to compute, analyze and interpret numerical data. Ability to make decisions which have moderate impact on the job function and the organization. Other Requirements: Appropriate availability consistent with EarthScope established practices and norms; hours may exceed 40 hours per week, particularly when traveling. Environment Physical Setting and Requirements: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. PHYSICAL DEMANDS AND WORK ENVIRONMENT: Occasionally required to stand. Occasionally required to walk. Frequently required to sit. Continually required to utilize hand and finger dexterity. Occasionally required to talk and/or hear. While performing the duties of this job, the noise level in the work environment is usually quiet. Occasionally required to lift and /or move more than 25 pounds. . click apply for full job details
Please read all the requirements for the GeoWorkforce Associate I position listed below Cover Letter Requirement : A cover letter must be submitted along with your resume. Applications submitted without a cover letter will not be considered. Note: If applying through Indeed and unable to upload a cover letter, please email your cover letter to after submitting your application. Application Limit : This posting will close after the first 100 qualified applications have been received. Work Authorization : EarthScope Consortium Inc. is not able to sponsor employment visas for this position. Work Location Eligibility : Applicants must be authorized to work and physically reside within the 50 United States. EarthScope is only able to employ individuals working within these states. Job Title: GeoWorkforce Associate I Reports to: Engagement Manager Travel Requirements: up to 20% Employment/FLSA Status: Full-Time/Exempt Remote Eligible: Yes, National, United States Salary Range: $72,450 - $82,800 (depending on experience, skills, and qualifications relative to the job requirements) Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 403(b) Plan with Company Match Life Insurance PTO, Paid Holidays Position Summary The GeoWorkforce Associate I is responsible for implementing efforts to support workforce development activities in the geosciences. The incumbent will implement elements of the geo-workforce initiative which facilitates the development of a robust, well-trained geoscience workforce with the knowledge, skills, and abilities to tackle emerging scientific and societal issues. Details of Responsibilities General Essential Job Duties: Implement geophysics workforce programming and products designed to: Identify and attract potential geophysicists, prepare, enhance the skills of, and retain geophysicists, and increase the geophysics and geoscience workforce Ensure that workforce programming supports the needs of all participants Implementrecruitment strategies that effectively promote our workforce development programs and attract qualified candidates to become part of the geophysics and geosciences workforce. Carry out established processes and procedures for evaluation of workforce programming and products Collaborate with partner organizations to advance geoscience and geophysics workforce priorities Support the preparation of publications to document workforce projects and their impacts Support students, lead workforce programming, and present work results at conferences. Support internship alumni via an active and vibrant alumni network. Maintain online presence for workforce activities within the organization. Other duties may be assigned as necessary for the successful operation of the business. Specialized Essential Duties: Execute programming for early career geoscientists/geophysicists in collaboration with partner organizations. Partner with the communications team to regularly communicate initiatives, events and progress. Leadership and Supervisory Responsibilities: This position does not have supervisory responsibility. Interacts effectively and efficiently with staff, community and partnering organizations. Provides managerial direction to interns and volunteers. Foster a professional culture through the use of strong interpersonal skills, and verbal and written communications. Communicate clearly and effectively with other team members to ensure tasks are completed on time and with best practices. Promotes and fosters a respectful environment for program participants. Qualifications Minimum Education & Experience Requirements: Bachelor's degree or equivalent professional experience. Preferred Skills: Master's degree, PhD or equivalent in geosciences, or related field. Bilingual; Spanish highly desired. Participation in science internship as a student. Life experience that assists in relating to program participants. Assignment-specific Position Summary Positions in Engagement Services will include job specific addenda that specify assignment-specific duties, knowledge, skills and abilities pertinent to the position. This is in addition to the general Position Description requirements associated with the job title. Assignment-specific Essential Duties: Support the RESESS and GLP internship programs by: Assisting with participant recruitment, application processes, intern communications, and onboarding activities. Contributing to internship operations, including participant travel, participant payments, professional development activities, and evaluation processes. Assisting with intern and alumni engagement activities, including maintaining participant records and facilitating connections to future opportunities. Contribute to other workforce programming as needed, which may include the Career internship program, Field School 1 (introductory program to introduce 2YC students to geophysics), Field School 3 (designed to broaden the facility's user base by training graduate students and early career faculty, from communities adjacent to geophysics, to use facility equipment and data), and/or other programming for early career faculty. Represent workforce programs at conferences, meetings, and recruitment events as assigned. Other duties may be assigned as necessary for the successful operation of the business. Assignment-specific Knowledge, Skills, & Abilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability for the position: Knowledge of Google suite of tools Strong spreadsheet and data management skills Experience supporting initiatives that help learners develop applied skills. Ability to coordinate schedules, communications, and program logistics across multiple stakeholders. Familiarity with project implementation, data collection, reporting activities, or budget tracking. Knowledge, Skills, & Abilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability for the position: Experience conducting scientific research. Experience in supporting a wide variety of program participants. Ability to work in a team-oriented environment with diverse members and different communication styles. Excellent written and verbal communication skills, the ability to present to diverse audiences, and ability to translate science for nonscientific audiences. Ability to establish and maintain effective working relationships with those contacted in the course of this work and exhibit sensitivity to and understanding of a respectful workplace. Self-motivated, excellent interpersonal and organizational skills, including demonstrated success in interactions with peers, scientists, students, media, and the public. Ability to exercise independent judgment and interact effectively with internal and external partners and customers. Ability to manage multiple projects and prioritize work tasks. Familiar with WordPress or similar content management system. Knowledge of geophysics or geosciences. Ability to understand moderately complex problems, collaborate and explore alternative solutions. Ability to organize and prioritize work schedules for self and interns. Ability to effectively orally communicate technical topics to non-technical audiences. Ability to communicate effectively in writing including letters, reports and summaries. Ability to compute, analyze and interpret numerical data. Ability to make decisions which have moderate impact on the job function and the organization. Other Requirements: Appropriate availability consistent with EarthScope established practices and norms; hours may exceed 40 hours per week, particularly when traveling. Environment Physical Setting and Requirements: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. PHYSICAL DEMANDS AND WORK ENVIRONMENT: Occasionally required to stand. Occasionally required to walk. Frequently required to sit. Continually required to utilize hand and finger dexterity. Occasionally required to talk and/or hear. While performing the duties of this job, the noise level in the work environment is usually quiet. Occasionally required to lift and /or move more than 25 pounds. . click apply for full job details
09/29/2026
Full time
Please read all the requirements for the GeoWorkforce Associate I position listed below Cover Letter Requirement : A cover letter must be submitted along with your resume. Applications submitted without a cover letter will not be considered. Note: If applying through Indeed and unable to upload a cover letter, please email your cover letter to after submitting your application. Application Limit : This posting will close after the first 100 qualified applications have been received. Work Authorization : EarthScope Consortium Inc. is not able to sponsor employment visas for this position. Work Location Eligibility : Applicants must be authorized to work and physically reside within the 50 United States. EarthScope is only able to employ individuals working within these states. Job Title: GeoWorkforce Associate I Reports to: Engagement Manager Travel Requirements: up to 20% Employment/FLSA Status: Full-Time/Exempt Remote Eligible: Yes, National, United States Salary Range: $72,450 - $82,800 (depending on experience, skills, and qualifications relative to the job requirements) Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 403(b) Plan with Company Match Life Insurance PTO, Paid Holidays Position Summary The GeoWorkforce Associate I is responsible for implementing efforts to support workforce development activities in the geosciences. The incumbent will implement elements of the geo-workforce initiative which facilitates the development of a robust, well-trained geoscience workforce with the knowledge, skills, and abilities to tackle emerging scientific and societal issues. Details of Responsibilities General Essential Job Duties: Implement geophysics workforce programming and products designed to: Identify and attract potential geophysicists, prepare, enhance the skills of, and retain geophysicists, and increase the geophysics and geoscience workforce Ensure that workforce programming supports the needs of all participants Implementrecruitment strategies that effectively promote our workforce development programs and attract qualified candidates to become part of the geophysics and geosciences workforce. Carry out established processes and procedures for evaluation of workforce programming and products Collaborate with partner organizations to advance geoscience and geophysics workforce priorities Support the preparation of publications to document workforce projects and their impacts Support students, lead workforce programming, and present work results at conferences. Support internship alumni via an active and vibrant alumni network. Maintain online presence for workforce activities within the organization. Other duties may be assigned as necessary for the successful operation of the business. Specialized Essential Duties: Execute programming for early career geoscientists/geophysicists in collaboration with partner organizations. Partner with the communications team to regularly communicate initiatives, events and progress. Leadership and Supervisory Responsibilities: This position does not have supervisory responsibility. Interacts effectively and efficiently with staff, community and partnering organizations. Provides managerial direction to interns and volunteers. Foster a professional culture through the use of strong interpersonal skills, and verbal and written communications. Communicate clearly and effectively with other team members to ensure tasks are completed on time and with best practices. Promotes and fosters a respectful environment for program participants. Qualifications Minimum Education & Experience Requirements: Bachelor's degree or equivalent professional experience. Preferred Skills: Master's degree, PhD or equivalent in geosciences, or related field. Bilingual; Spanish highly desired. Participation in science internship as a student. Life experience that assists in relating to program participants. Assignment-specific Position Summary Positions in Engagement Services will include job specific addenda that specify assignment-specific duties, knowledge, skills and abilities pertinent to the position. This is in addition to the general Position Description requirements associated with the job title. Assignment-specific Essential Duties: Support the RESESS and GLP internship programs by: Assisting with participant recruitment, application processes, intern communications, and onboarding activities. Contributing to internship operations, including participant travel, participant payments, professional development activities, and evaluation processes. Assisting with intern and alumni engagement activities, including maintaining participant records and facilitating connections to future opportunities. Contribute to other workforce programming as needed, which may include the Career internship program, Field School 1 (introductory program to introduce 2YC students to geophysics), Field School 3 (designed to broaden the facility's user base by training graduate students and early career faculty, from communities adjacent to geophysics, to use facility equipment and data), and/or other programming for early career faculty. Represent workforce programs at conferences, meetings, and recruitment events as assigned. Other duties may be assigned as necessary for the successful operation of the business. Assignment-specific Knowledge, Skills, & Abilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability for the position: Knowledge of Google suite of tools Strong spreadsheet and data management skills Experience supporting initiatives that help learners develop applied skills. Ability to coordinate schedules, communications, and program logistics across multiple stakeholders. Familiarity with project implementation, data collection, reporting activities, or budget tracking. Knowledge, Skills, & Abilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability for the position: Experience conducting scientific research. Experience in supporting a wide variety of program participants. Ability to work in a team-oriented environment with diverse members and different communication styles. Excellent written and verbal communication skills, the ability to present to diverse audiences, and ability to translate science for nonscientific audiences. Ability to establish and maintain effective working relationships with those contacted in the course of this work and exhibit sensitivity to and understanding of a respectful workplace. Self-motivated, excellent interpersonal and organizational skills, including demonstrated success in interactions with peers, scientists, students, media, and the public. Ability to exercise independent judgment and interact effectively with internal and external partners and customers. Ability to manage multiple projects and prioritize work tasks. Familiar with WordPress or similar content management system. Knowledge of geophysics or geosciences. Ability to understand moderately complex problems, collaborate and explore alternative solutions. Ability to organize and prioritize work schedules for self and interns. Ability to effectively orally communicate technical topics to non-technical audiences. Ability to communicate effectively in writing including letters, reports and summaries. Ability to compute, analyze and interpret numerical data. Ability to make decisions which have moderate impact on the job function and the organization. Other Requirements: Appropriate availability consistent with EarthScope established practices and norms; hours may exceed 40 hours per week, particularly when traveling. Environment Physical Setting and Requirements: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. PHYSICAL DEMANDS AND WORK ENVIRONMENT: Occasionally required to stand. Occasionally required to walk. Frequently required to sit. Continually required to utilize hand and finger dexterity. Occasionally required to talk and/or hear. While performing the duties of this job, the noise level in the work environment is usually quiet. Occasionally required to lift and /or move more than 25 pounds. . click apply for full job details
Shields Facilities Management, LLC (SFM) is hiring a Field Manager to perform site visits, inspect property conditions, and keep service execution moving across customer locations. This role is well suited for someone who works independently in the field, communicates directly with customers and internal partners, and adapts quickly as priorities shift from site to site. This is a remote position; however, candidates based in Massachusetts, Pennsylvania, New Jersey, and Florida are preferred. Shields Facilities Management is a national, world-class vendor management company boasting an extensive network of vendors, customized customer relationship management software, and an operations team who possess expertise and customer service skills that are second to none in the industry. We design and deliver targeted maintenance programs for national and regional retail, food service, financial, and healthcare facilities. SFM offers a comprehensive compensation package including competitive salaries, multiple healthcare plans including supplemental coverage and a 401(k) Plan with company match. We are actively seeking motivated individuals who can engage in our employee-focused culture and make SFM better through your valuable contributions. Core Responsibilities Manage field visit requests and schedule site visits and meetings with appropriate vendor partners and customer contacts Communicate schedules, visit details, and updates to internal operations team members Conduct site inspections across service areas such as landscaping, snow management, and parking lot sweeping and maintenance Check in with customer contacts on site, review adherence to scope of work, and identify opportunities to improve site appearance or address safety concerns Walk properties, document issues, coordinate follow-up with service partners, and capture photos using required software Prepare inspection reports, weekly field visit summaries, quality scores, and expense reports using designated tools and systems Required Skills & Abilities Ability to work independently while managing multiple site visits and follow-up tasks Clear, direct communication with customers, service partners, and internal team members Comfort working in a fast-moving environment with changing schedules and field-based priorities Practical judgment when identifying service issues, safety concerns, and improvement opportunities Ability to document findings accurately using required software and reporting tools Other Requirements Facilities maintenance experience required Working knowledge of Microsoft Office; Excel skills are a plus Access to a laptop or desktop computer and an updated smartphone; print/scanner optional Ability to Travel via car and plane as needed. Consistent travel required Compensation details: 0 Yearly Salary PI1f7a609b1fb3-7838
09/29/2026
Full time
Shields Facilities Management, LLC (SFM) is hiring a Field Manager to perform site visits, inspect property conditions, and keep service execution moving across customer locations. This role is well suited for someone who works independently in the field, communicates directly with customers and internal partners, and adapts quickly as priorities shift from site to site. This is a remote position; however, candidates based in Massachusetts, Pennsylvania, New Jersey, and Florida are preferred. Shields Facilities Management is a national, world-class vendor management company boasting an extensive network of vendors, customized customer relationship management software, and an operations team who possess expertise and customer service skills that are second to none in the industry. We design and deliver targeted maintenance programs for national and regional retail, food service, financial, and healthcare facilities. SFM offers a comprehensive compensation package including competitive salaries, multiple healthcare plans including supplemental coverage and a 401(k) Plan with company match. We are actively seeking motivated individuals who can engage in our employee-focused culture and make SFM better through your valuable contributions. Core Responsibilities Manage field visit requests and schedule site visits and meetings with appropriate vendor partners and customer contacts Communicate schedules, visit details, and updates to internal operations team members Conduct site inspections across service areas such as landscaping, snow management, and parking lot sweeping and maintenance Check in with customer contacts on site, review adherence to scope of work, and identify opportunities to improve site appearance or address safety concerns Walk properties, document issues, coordinate follow-up with service partners, and capture photos using required software Prepare inspection reports, weekly field visit summaries, quality scores, and expense reports using designated tools and systems Required Skills & Abilities Ability to work independently while managing multiple site visits and follow-up tasks Clear, direct communication with customers, service partners, and internal team members Comfort working in a fast-moving environment with changing schedules and field-based priorities Practical judgment when identifying service issues, safety concerns, and improvement opportunities Ability to document findings accurately using required software and reporting tools Other Requirements Facilities maintenance experience required Working knowledge of Microsoft Office; Excel skills are a plus Access to a laptop or desktop computer and an updated smartphone; print/scanner optional Ability to Travel via car and plane as needed. Consistent travel required Compensation details: 0 Yearly Salary PI1f7a609b1fb3-7838
Description: We are a family-oriented Midwest based company in Wisconsin, Minnesota, and Michigan. As a result of our growth, we have a need for an Application Engineer to utilize sales and technical capabilities to grow Crane business within an assigned market. Our mission is to help customers succeed. To achieve our mission, we've instilled a culture and environment that encourages new ideas, promotes experimentation, and inspires innovation. Crane Engineering team members impact the organization's success and are recognized for creating "WOW!" customer experiences. What You Get To Do Develops and maintains the product and application knowledge necessary to service internal and external customers within the assigned market. Supports and keeps sales and management staff informed of major projects; assists office and warehouse staff with application and product information. Provides customer and employee product training and sales call technical support. Provides technical sales and marketing support to Crane customers and staff. Provides the highest quality quotations possible for the specific application as outlined by the customer or Account Manager. Accurately prices, verifies contractual obligations, internal costs, agency sales and stock/drop-shipments. Develops the product and application knowledge necessary to service the needs of our customers and sales staff May perform other duties as assigned. Requirements: What We Need From You Bachelor's degree in a related engineering field preferred. Minimum of one-year related experience and/or training; or equivalent combination of education and experience. An engineering professional with appropriate industry/educational experience. A customer-service focused individual that successfully responds to technical and non-technical customer and employee inquiries. An ability to handle a varied and fast-paced workload to meet customer requirements for projects. A well-organized and self-directed team player. Ability to work with various computer programs including vendor-based software. We Are Winning When Our expectations are that team members demonstrate our Core Values. Integrity & Respect - Work with the highest ethical standards, interact openly and directly, honor our commitments and value diversity of styles, roles, and perspectives. Teamwork - Actively collaborate with others to solve problems and create opportunities. Devote ourselves to the team's and others' success. Customer Focus - Make customers the starting point for everything we do. Understanding what they want and expect from us will enable us to earn their loyalty. Excellence & Innovation - Continuously elevate our expertise and knowledge to strengthen our competitive advantage; and always look for ways to apply breakthrough ideas. Passion & Energy - Bring passion and energy to our work so that we are "energy givers", enabling us to own and pursue objectives in spite of obstacles and adversity. Fun! - Enjoy what we do and have fun with each other - celebrate a job well done "25% more fun". Benefits and Team Member Perks Positivity, cohesiveness and celebrating a job well done! Competitive compensation and benefits structure within a values-driven culture Work-life balance; generous paid time off program and ability to participate in Flexible Workplace arrangement Comprehensive health insurance coverage 401k with generous company match Intuitive health and wellness program that rewards participation Community involvement and volunteering opportunities Continuous learning through our talent learning management system - Crane University Apply today and join the team at: Crane Engineering is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, protected veteran status, disability, or any other characteristic protected by law. Crane Engineering also participates in E-Verify to verify identity and employment eligibility. PI1453b26c64e1-3444
09/29/2026
Full time
Description: We are a family-oriented Midwest based company in Wisconsin, Minnesota, and Michigan. As a result of our growth, we have a need for an Application Engineer to utilize sales and technical capabilities to grow Crane business within an assigned market. Our mission is to help customers succeed. To achieve our mission, we've instilled a culture and environment that encourages new ideas, promotes experimentation, and inspires innovation. Crane Engineering team members impact the organization's success and are recognized for creating "WOW!" customer experiences. What You Get To Do Develops and maintains the product and application knowledge necessary to service internal and external customers within the assigned market. Supports and keeps sales and management staff informed of major projects; assists office and warehouse staff with application and product information. Provides customer and employee product training and sales call technical support. Provides technical sales and marketing support to Crane customers and staff. Provides the highest quality quotations possible for the specific application as outlined by the customer or Account Manager. Accurately prices, verifies contractual obligations, internal costs, agency sales and stock/drop-shipments. Develops the product and application knowledge necessary to service the needs of our customers and sales staff May perform other duties as assigned. Requirements: What We Need From You Bachelor's degree in a related engineering field preferred. Minimum of one-year related experience and/or training; or equivalent combination of education and experience. An engineering professional with appropriate industry/educational experience. A customer-service focused individual that successfully responds to technical and non-technical customer and employee inquiries. An ability to handle a varied and fast-paced workload to meet customer requirements for projects. A well-organized and self-directed team player. Ability to work with various computer programs including vendor-based software. We Are Winning When Our expectations are that team members demonstrate our Core Values. Integrity & Respect - Work with the highest ethical standards, interact openly and directly, honor our commitments and value diversity of styles, roles, and perspectives. Teamwork - Actively collaborate with others to solve problems and create opportunities. Devote ourselves to the team's and others' success. Customer Focus - Make customers the starting point for everything we do. Understanding what they want and expect from us will enable us to earn their loyalty. Excellence & Innovation - Continuously elevate our expertise and knowledge to strengthen our competitive advantage; and always look for ways to apply breakthrough ideas. Passion & Energy - Bring passion and energy to our work so that we are "energy givers", enabling us to own and pursue objectives in spite of obstacles and adversity. Fun! - Enjoy what we do and have fun with each other - celebrate a job well done "25% more fun". Benefits and Team Member Perks Positivity, cohesiveness and celebrating a job well done! Competitive compensation and benefits structure within a values-driven culture Work-life balance; generous paid time off program and ability to participate in Flexible Workplace arrangement Comprehensive health insurance coverage 401k with generous company match Intuitive health and wellness program that rewards participation Community involvement and volunteering opportunities Continuous learning through our talent learning management system - Crane University Apply today and join the team at: Crane Engineering is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, protected veteran status, disability, or any other characteristic protected by law. Crane Engineering also participates in E-Verify to verify identity and employment eligibility. PI1453b26c64e1-3444
Job description: We are seeking an experienced and detail-oriented IT Manager - End User Enablement / Solutions Specialist - to oversee and optimize our organization's end user capabilities for the Hudson Tunnel Project (HTP). This is a once in a lifetime opportunity to contribute to this landmark project that is poised to deliver transformative impacts across economic, transportation, and environmental sustainability. This role is ideal for a seasoned IT professional with a strong background in user adoption, training and IT solutions, who is eager to lead, innovate, and ensure the reliability, security, and scalability of our systems. As an IT Manager - End User Enablement / Solutions Specialist, you will be focused on improving end-user productivity and adoption beyond break/fix support. Designs and implements solutions such as templates, automations, and collaboration patterns in Microsoft 365, SharePoint, PMIS, and related platforms. Runs enablement sessions, office hours, and targeted training for high-impact groups including project controls, field engineers, and CEC staff. What You'll Do: Drive enduser enablement programs, including training, onboarding sessions, and targeted adoption initiatives for key user groups. Design and implement productivity solutions such as templates, automations, workflows, and collaboration patterns across Microsoft 365, SharePoint, PMIS, and related platforms. Develop and maintain userfocused documentation, guides, knowledge articles, and bestpractice playbooks to support scalable adoption. Partner with crossfunctional teams to understand business needs and translate them into intuitive, usercentered technology solutions. Monitor system usage, adoption trends, and user feedback, identifying opportunities to improve usability, efficiency, and digital literacy. Ensure reliability, security, and compliance of enduser solutions while supporting continuous improvement across the IT environment. Qualifications: What You Bring Bachelor's degree in Information Technology, Information Systems, Computer Science, Business Technology, or a related field. 510+ years of experience in IT user enablement, digital adoption, or advanced IT solutions delivery. Hands-on experience with Microsoft 365, SharePoint, collaboration tools, workflow automation, and enterprise productivity platforms. Proven ability to design and deliver training, enablement programs, and user-centered technology solutions. Strong communication and facilitation skills, with the ability to engage technical and non-technical audiences. Experience working in complex, cross-functional environments, ideally within infrastructure, engineering, construction, or other large project settings. Attributes We Value Initiative: You take ownership and proactively drive progress. Growth Mindset: You embrace learning and continuous improvement. Ownership: You deliver high-quality outcomes from start to finish. Collaboration: You work effectively across teams and influence without direct authority. Why is This a Great Opportunity: You'll be joining a mission-driven organization at a pivotal moment. This role offers the chance to shape how thousands of users engage with modern technology while contributing to one of the most significant infrastructure projects in the region. You'll work with cutting-edge cloud platforms, collaborate with talented professionals, and help build an environment where people feel confident, capable, and empowered by the tools they use every day. If you're passionate about elevating user experience and driving meaningful impact, we'd be excited to welcome you to the team. Salary Type : Annual Salary Salary Min : $ 120000 Salary Max : $ 160000 Currency Type : USD
09/29/2026
Full time
Job description: We are seeking an experienced and detail-oriented IT Manager - End User Enablement / Solutions Specialist - to oversee and optimize our organization's end user capabilities for the Hudson Tunnel Project (HTP). This is a once in a lifetime opportunity to contribute to this landmark project that is poised to deliver transformative impacts across economic, transportation, and environmental sustainability. This role is ideal for a seasoned IT professional with a strong background in user adoption, training and IT solutions, who is eager to lead, innovate, and ensure the reliability, security, and scalability of our systems. As an IT Manager - End User Enablement / Solutions Specialist, you will be focused on improving end-user productivity and adoption beyond break/fix support. Designs and implements solutions such as templates, automations, and collaboration patterns in Microsoft 365, SharePoint, PMIS, and related platforms. Runs enablement sessions, office hours, and targeted training for high-impact groups including project controls, field engineers, and CEC staff. What You'll Do: Drive enduser enablement programs, including training, onboarding sessions, and targeted adoption initiatives for key user groups. Design and implement productivity solutions such as templates, automations, workflows, and collaboration patterns across Microsoft 365, SharePoint, PMIS, and related platforms. Develop and maintain userfocused documentation, guides, knowledge articles, and bestpractice playbooks to support scalable adoption. Partner with crossfunctional teams to understand business needs and translate them into intuitive, usercentered technology solutions. Monitor system usage, adoption trends, and user feedback, identifying opportunities to improve usability, efficiency, and digital literacy. Ensure reliability, security, and compliance of enduser solutions while supporting continuous improvement across the IT environment. Qualifications: What You Bring Bachelor's degree in Information Technology, Information Systems, Computer Science, Business Technology, or a related field. 510+ years of experience in IT user enablement, digital adoption, or advanced IT solutions delivery. Hands-on experience with Microsoft 365, SharePoint, collaboration tools, workflow automation, and enterprise productivity platforms. Proven ability to design and deliver training, enablement programs, and user-centered technology solutions. Strong communication and facilitation skills, with the ability to engage technical and non-technical audiences. Experience working in complex, cross-functional environments, ideally within infrastructure, engineering, construction, or other large project settings. Attributes We Value Initiative: You take ownership and proactively drive progress. Growth Mindset: You embrace learning and continuous improvement. Ownership: You deliver high-quality outcomes from start to finish. Collaboration: You work effectively across teams and influence without direct authority. Why is This a Great Opportunity: You'll be joining a mission-driven organization at a pivotal moment. This role offers the chance to shape how thousands of users engage with modern technology while contributing to one of the most significant infrastructure projects in the region. You'll work with cutting-edge cloud platforms, collaborate with talented professionals, and help build an environment where people feel confident, capable, and empowered by the tools they use every day. If you're passionate about elevating user experience and driving meaningful impact, we'd be excited to welcome you to the team. Salary Type : Annual Salary Salary Min : $ 120000 Salary Max : $ 160000 Currency Type : USD
What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose The purpose of the HR/Admin Unit Manager is to ensure the streamlined operation of the IT HR/Admin Unit in alignment with the business objectives of the GBA Department and the AHM IT Business Unit. This individual will plan, coordinate, direct the activities of the HR/Admin Unit, as well as provide administrative direction and support for daily operational activities of the HR/Admin Unit. They will work closely with decision makers across the organization to identify, recommend, develop, implement, and support cost-effective technology solutions and/or services for all aspects of the organization. This person will also define and implement IT policies, procedures, and best practices as it relates to the services and applications supported by the HR/Admin Unit. Key Accountabilities Partner with the Department Manager to shape and advance the strategic vision and direction of AHM IT, the Enterprise System Services Division, and the General Business Applications Department, translating organizational objectives into actionable plans and driving effective execution of divisional and departmental strategies. Build and strengthen strategic partnerships across North America and Honda Global organizations, establish trust, credibility, and alignment through a deep understanding of business needs. Leverage influence, collaboration, and stakeholder engagement to advance enterprise priorities and maximize the achievement of North America IT objectives. Build, develop, and lead high-performing IT teams by fostering a culture of continuous learning, professional growth, and accountability through effective coaching, mentoring, talent development, and performance management. Inspire and empower associates to remain engaged, motivated, and aligned in achieving organizational goals, business objectives, and operational excellence. Lead the successful delivery of the HR/Admin Unit project portfolio by achieving approved annual objectives and ensuring commitments related to schedule, budget, quality, scope, and business value are consistently met Provide leadership and governance for the HR/Admin application portfolio, ensuring reliable operations, strategic alignment, and continuous improvement of enterprise platforms supporting Human Resources, Administration, Time & Attendance, Talent Management, Learning, Employee Services, and Digital Workflow processes. Partner with business leaders to define priorities, develop technology roadmaps, manage service delivery, and drive innovation that enhances organizational effectiveness and user experience. Qualifications, Experience, and Skills Educational qualifications: Must have a Bachelors level college degree in Computer Sciences, Information Systems / IT, Electronics or a related STEM field of study. Minimum work experience: At least 10 years of relevant IT experience in core business systems, preferably in an enterprise environment in the manufacturing industry • Extensive experience leading cross-functional teams, influencing stakeholders, and driving organizational change. • Strong analytical, problem-solving, and decision-making skills with the ability to balance strategic priorities and operational demands. • Excellent written, verbal, and executive communication skills, with the ability to develop clear, concise, and impactful business communications. • Demonstrated experience preparing and delivering presentations to senior leadership and executive management. • Proven experience developing, managing, and forecasting operational and project budgets. • Strong vendor management and contract oversight experience, including performance management and service delivery governance. Other preferred knowledge and experience: • Comprehensive knowledge of enterprise Human Resources and Administration IT systems, including platforms such as ServiceNow HRSD, UKG/Kronos Workforce Management, SuccessFactors, OpenText Info Archive, SAP ECC, Learning Management, Talent Management, and related business applications. • Strong understanding of enterprise application lifecycle management, technology roadmaps, governance, and service delivery best practices. • Proven experience leading large-scale, cross-functional technology initiatives and digital transformation programs. • Excellent understanding of organizational goals, business processes, and strategic planning methodologies. • In-depth knowledge of data privacy, security, compliance, and regulatory requirements applicable to Human Resources and employee data. • Strong understanding of Human Resources, Workforce Management, and Administration business processes, policies, and practices. • Demonstrated success building collaborative partnerships and aligning diverse stakeholder groups to achieve common business objectives. • Experience applying Agile, Lean, and continuous improvement principles to enhance service delivery and operational effectiveness • Strong leadership, coaching, mentoring and talent development capabilities with a focus on building high-performing teams Workstyle This is an onsite job. One remote workday per week may be possible with prior departmental approval Visa sponsorship issues This position is not eligible for work visa sponsorship. What differentiates Honda and makes us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Regional Bonus (when applicable) Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued learning Training and Development Programs Additional Offerings: Lifestyle Account Childcare Reimbursement Account Elder Care Support Tuition Assistance & Student Loan Repayment Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
09/29/2026
Full time
What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose The purpose of the HR/Admin Unit Manager is to ensure the streamlined operation of the IT HR/Admin Unit in alignment with the business objectives of the GBA Department and the AHM IT Business Unit. This individual will plan, coordinate, direct the activities of the HR/Admin Unit, as well as provide administrative direction and support for daily operational activities of the HR/Admin Unit. They will work closely with decision makers across the organization to identify, recommend, develop, implement, and support cost-effective technology solutions and/or services for all aspects of the organization. This person will also define and implement IT policies, procedures, and best practices as it relates to the services and applications supported by the HR/Admin Unit. Key Accountabilities Partner with the Department Manager to shape and advance the strategic vision and direction of AHM IT, the Enterprise System Services Division, and the General Business Applications Department, translating organizational objectives into actionable plans and driving effective execution of divisional and departmental strategies. Build and strengthen strategic partnerships across North America and Honda Global organizations, establish trust, credibility, and alignment through a deep understanding of business needs. Leverage influence, collaboration, and stakeholder engagement to advance enterprise priorities and maximize the achievement of North America IT objectives. Build, develop, and lead high-performing IT teams by fostering a culture of continuous learning, professional growth, and accountability through effective coaching, mentoring, talent development, and performance management. Inspire and empower associates to remain engaged, motivated, and aligned in achieving organizational goals, business objectives, and operational excellence. Lead the successful delivery of the HR/Admin Unit project portfolio by achieving approved annual objectives and ensuring commitments related to schedule, budget, quality, scope, and business value are consistently met Provide leadership and governance for the HR/Admin application portfolio, ensuring reliable operations, strategic alignment, and continuous improvement of enterprise platforms supporting Human Resources, Administration, Time & Attendance, Talent Management, Learning, Employee Services, and Digital Workflow processes. Partner with business leaders to define priorities, develop technology roadmaps, manage service delivery, and drive innovation that enhances organizational effectiveness and user experience. Qualifications, Experience, and Skills Educational qualifications: Must have a Bachelors level college degree in Computer Sciences, Information Systems / IT, Electronics or a related STEM field of study. Minimum work experience: At least 10 years of relevant IT experience in core business systems, preferably in an enterprise environment in the manufacturing industry • Extensive experience leading cross-functional teams, influencing stakeholders, and driving organizational change. • Strong analytical, problem-solving, and decision-making skills with the ability to balance strategic priorities and operational demands. • Excellent written, verbal, and executive communication skills, with the ability to develop clear, concise, and impactful business communications. • Demonstrated experience preparing and delivering presentations to senior leadership and executive management. • Proven experience developing, managing, and forecasting operational and project budgets. • Strong vendor management and contract oversight experience, including performance management and service delivery governance. Other preferred knowledge and experience: • Comprehensive knowledge of enterprise Human Resources and Administration IT systems, including platforms such as ServiceNow HRSD, UKG/Kronos Workforce Management, SuccessFactors, OpenText Info Archive, SAP ECC, Learning Management, Talent Management, and related business applications. • Strong understanding of enterprise application lifecycle management, technology roadmaps, governance, and service delivery best practices. • Proven experience leading large-scale, cross-functional technology initiatives and digital transformation programs. • Excellent understanding of organizational goals, business processes, and strategic planning methodologies. • In-depth knowledge of data privacy, security, compliance, and regulatory requirements applicable to Human Resources and employee data. • Strong understanding of Human Resources, Workforce Management, and Administration business processes, policies, and practices. • Demonstrated success building collaborative partnerships and aligning diverse stakeholder groups to achieve common business objectives. • Experience applying Agile, Lean, and continuous improvement principles to enhance service delivery and operational effectiveness • Strong leadership, coaching, mentoring and talent development capabilities with a focus on building high-performing teams Workstyle This is an onsite job. One remote workday per week may be possible with prior departmental approval Visa sponsorship issues This position is not eligible for work visa sponsorship. What differentiates Honda and makes us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Regional Bonus (when applicable) Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued learning Training and Development Programs Additional Offerings: Lifestyle Account Childcare Reimbursement Account Elder Care Support Tuition Assistance & Student Loan Repayment Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
About Company: Hi This is About Company updated hello, this is company information About the Role: As a Java Developer, you will play a critical role in designing, developing, and maintaining high-quality Java applications that meet the evolving needs of our business and clients. You will collaborate closely with cross-functional teams including product managers, designers, and other developers to deliver scalable and efficient software solutions. Your expertise will contribute to the full software development lifecycle, from concept and design to testing and deployment. You will be responsible for writing clean, maintainable code and ensuring the performance, quality, and responsiveness of applications. Ultimately, your work will help drive innovation and improve user experience across our technology platforms. Minimum Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field. Proven experience as a Java Developer or similar role with a strong portfolio of completed projects. Solid understanding of object-oriented programming and design patterns. Proficiency in core Java technologies including Java SE and Java EE. Experience with relational databases and SQL. Familiarity with version control systems such as Git. Strong problem-solving skills and attention to detail. Preferred Qualifications: Experience with modern Java frameworks such as Spring and Hibernate. Knowledge of RESTful API design and development. Familiarity with front-end technologies like JavaScript, HTML, and CSS. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Understanding of containerization and orchestration tools like Docker and Kubernetes. Exposure to Agile development methodologies and continuous integration/continuous deployment (CI/CD) pipelines. Responsibilities: Develop, test, and deploy robust Java applications and services according to project requirements. Collaborate with team members to analyze user needs and software requirements to determine feasibility of design within time and cost constraints. Write well-designed, efficient, and reusable code following best practices and coding standards. Participate in code reviews, debugging, and troubleshooting to optimize application performance and resolve issues. Maintain and update existing applications to improve functionality and adapt to new technologies or business needs. Work closely with QA teams to ensure comprehensive test coverage and high-quality deliverables. Document development phases and monitor systems to ensure reliability and security. Skills: The required skills enable the developer to write efficient, maintainable, and scalable Java code that forms the backbone of our applications. Proficiency in Java and object-oriented principles ensures the developer can build robust software components and integrate them seamlessly. Knowledge of databases and SQL is essential for managing data persistence and retrieval effectively. Version control skills facilitate collaboration and code management within the development team. Preferred skills such as experience with frameworks, cloud services, and containerization enhance the developer's ability to build modern, flexible applications that can be deployed and scaled efficiently, while familiarity with Agile and CI/CD practices supports rapid and reliable software delivery.
09/29/2026
Full time
About Company: Hi This is About Company updated hello, this is company information About the Role: As a Java Developer, you will play a critical role in designing, developing, and maintaining high-quality Java applications that meet the evolving needs of our business and clients. You will collaborate closely with cross-functional teams including product managers, designers, and other developers to deliver scalable and efficient software solutions. Your expertise will contribute to the full software development lifecycle, from concept and design to testing and deployment. You will be responsible for writing clean, maintainable code and ensuring the performance, quality, and responsiveness of applications. Ultimately, your work will help drive innovation and improve user experience across our technology platforms. Minimum Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field. Proven experience as a Java Developer or similar role with a strong portfolio of completed projects. Solid understanding of object-oriented programming and design patterns. Proficiency in core Java technologies including Java SE and Java EE. Experience with relational databases and SQL. Familiarity with version control systems such as Git. Strong problem-solving skills and attention to detail. Preferred Qualifications: Experience with modern Java frameworks such as Spring and Hibernate. Knowledge of RESTful API design and development. Familiarity with front-end technologies like JavaScript, HTML, and CSS. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Understanding of containerization and orchestration tools like Docker and Kubernetes. Exposure to Agile development methodologies and continuous integration/continuous deployment (CI/CD) pipelines. Responsibilities: Develop, test, and deploy robust Java applications and services according to project requirements. Collaborate with team members to analyze user needs and software requirements to determine feasibility of design within time and cost constraints. Write well-designed, efficient, and reusable code following best practices and coding standards. Participate in code reviews, debugging, and troubleshooting to optimize application performance and resolve issues. Maintain and update existing applications to improve functionality and adapt to new technologies or business needs. Work closely with QA teams to ensure comprehensive test coverage and high-quality deliverables. Document development phases and monitor systems to ensure reliability and security. Skills: The required skills enable the developer to write efficient, maintainable, and scalable Java code that forms the backbone of our applications. Proficiency in Java and object-oriented principles ensures the developer can build robust software components and integrate them seamlessly. Knowledge of databases and SQL is essential for managing data persistence and retrieval effectively. Version control skills facilitate collaboration and code management within the development team. Preferred skills such as experience with frameworks, cloud services, and containerization enhance the developer's ability to build modern, flexible applications that can be deployed and scaled efficiently, while familiarity with Agile and CI/CD practices supports rapid and reliable software delivery.
What you will do Production Line Supervisor - reports to Area Manager, part of the Manufacturing Operations business unit. This role is located onsite in the plant and will lead a Powersports production line while also supervising a specialized E-Commerce team. How you will do it Supervise production teams for Powersports (boosting, decorating, packaging Motorcycle and Auxiliary batteries) and E-Commerce (packaging and shipping Motorcycle and AGM batteries) Plan and facilitate shipments for E-Commerce, ensuring completion within 24 hours Coordinate with PC/CS to schedule and track daily production targets for Powersports Collaborate with Logistics to manage inbound/outbound product flow and interchange talent across departments Resolve personnel issues through data analysis, investigation, and coaching while maintaining employee relations Maintain safe work environment by training personnel, enforcing compliance, and ensuring proper equipment operation What we look for Required Bachelor's Degree or equivalent in Business, Operations, or related field OR minimum of 3 years leadership experience in production Commitment to safety, quality, and production aligned with Clarios policies Strong communication skills , both verbal and written Preferred Microsoft Office proficiency (Excel, Word, PowerPoint) Ability to work in fast-paced environments Analytical skill set for problem-solving and process improvement Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; Clarios will not sponsor applicants for U.S. work visas for this opportunity. What we do here: Yuma - Distribution Center & Powersports Our Yuma, Arizona distribution center charges, packages, and ships the batteries used in cars, boats, and motorcycles. We opened in 2006, employ more than 180 people, and operate six days per week. We are actively involved in our local community through The United Way, Green Pasture Ranch, Crossroads Mission, and the Yuma Community Food Bank. We are the proud recipient of the 2019 Heart of Yuma Community Service Award. What you get: Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire Tuition reimbursement, perks, and discounts Parental and caregiver leave programs All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, and Employee Assistance Program Global market strength and worldwide market share leadership HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility Clarios has been recognized as one of 2026's Most Ethical Companies by Ethisphere. This prestigious recognition marks the fourth consecutive year Clarios has received this distinction. Who we are: Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics. Equal Employment Opportunity: We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or other protected characteristics protected by law. As a federal contractor, we are committed to not discriminating against any applicant or employee based on these protected statuses. We will also take affirmative action to ensure equal employment opportunities. Please let us know if you require accommodations during the interview process by emailing . We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, and all characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report . We want you to know your rights because EEO is the law. A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process. To All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.
09/29/2026
Full time
What you will do Production Line Supervisor - reports to Area Manager, part of the Manufacturing Operations business unit. This role is located onsite in the plant and will lead a Powersports production line while also supervising a specialized E-Commerce team. How you will do it Supervise production teams for Powersports (boosting, decorating, packaging Motorcycle and Auxiliary batteries) and E-Commerce (packaging and shipping Motorcycle and AGM batteries) Plan and facilitate shipments for E-Commerce, ensuring completion within 24 hours Coordinate with PC/CS to schedule and track daily production targets for Powersports Collaborate with Logistics to manage inbound/outbound product flow and interchange talent across departments Resolve personnel issues through data analysis, investigation, and coaching while maintaining employee relations Maintain safe work environment by training personnel, enforcing compliance, and ensuring proper equipment operation What we look for Required Bachelor's Degree or equivalent in Business, Operations, or related field OR minimum of 3 years leadership experience in production Commitment to safety, quality, and production aligned with Clarios policies Strong communication skills , both verbal and written Preferred Microsoft Office proficiency (Excel, Word, PowerPoint) Ability to work in fast-paced environments Analytical skill set for problem-solving and process improvement Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; Clarios will not sponsor applicants for U.S. work visas for this opportunity. What we do here: Yuma - Distribution Center & Powersports Our Yuma, Arizona distribution center charges, packages, and ships the batteries used in cars, boats, and motorcycles. We opened in 2006, employ more than 180 people, and operate six days per week. We are actively involved in our local community through The United Way, Green Pasture Ranch, Crossroads Mission, and the Yuma Community Food Bank. We are the proud recipient of the 2019 Heart of Yuma Community Service Award. What you get: Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire Tuition reimbursement, perks, and discounts Parental and caregiver leave programs All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, and Employee Assistance Program Global market strength and worldwide market share leadership HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility Clarios has been recognized as one of 2026's Most Ethical Companies by Ethisphere. This prestigious recognition marks the fourth consecutive year Clarios has received this distinction. Who we are: Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics. Equal Employment Opportunity: We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or other protected characteristics protected by law. As a federal contractor, we are committed to not discriminating against any applicant or employee based on these protected statuses. We will also take affirmative action to ensure equal employment opportunities. Please let us know if you require accommodations during the interview process by emailing . We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, and all characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report . We want you to know your rights because EEO is the law. A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process. To All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.
About Company: At ADP we use the most comprehensive data in the industry to create workplace insights that help inform products, ideas, and decisions every day. For 75 years, ADP has been building a better world of work. Learn why more than 1,000,000 clients rely on ADP and why we're always designing for people. About the Role: As a Full Stack Developer, you will play a pivotal role in designing, developing, and maintaining both the front-end and back-end components of our web applications. Your work will directly impact the user experience and the overall performance of our software products, ensuring they are scalable, secure, and efficient. You will collaborate closely with cross-functional teams including product managers, designers, and other developers to translate business requirements into technical solutions. This role demands a strong understanding of modern web technologies and best practices to deliver high-quality code and innovative features. Ultimately, your contributions will drive the continuous improvement and success of our digital platforms within the information industry. Minimum Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. Proven experience as a Full Stack Developer or similar role in software development. Proficiency with front-end technologies such as HTML5, CSS3, JavaScript, and frameworks like React, Angular, or Vue.js. Strong knowledge of back-end programming languages such as Node.js, Python, Java, or Ruby. Experience with database systems including SQL and NoSQL databases. Familiarity with RESTful API design and integration. Understanding of version control systems, preferably Git. Ability to write unit and integration tests to ensure code quality. Preferred Qualifications: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of containerization and orchestration tools like Docker and Kubernetes. Familiarity with CI/CD pipelines and automated deployment processes. Experience working in Agile/Scrum development environments. Strong understanding of web security principles and best practices. Contributions to open-source projects or a personal portfolio demonstrating coding skills. Responsibilities: Develop and maintain responsive web applications using modern front-end frameworks and back-end technologies. Collaborate with product and design teams to implement user-friendly interfaces and seamless user experiences. Write clean, maintainable, and well-documented code following industry best practices and coding standards. Perform code reviews, testing, and debugging to ensure software quality and reliability. Optimize applications for maximum speed and scalability while ensuring security compliance. Participate in agile development processes including sprint planning, daily stand-ups, and retrospectives. Troubleshoot and resolve technical issues across the full technology stack. Stay current with emerging technologies and industry trends to continuously enhance development practices. Skills: The required skills enable you to build and maintain both client-side and server-side components of web applications, ensuring seamless integration and functionality. Front-end skills allow you to create intuitive and responsive user interfaces, while back-end expertise ensures robust server logic and database management. Your proficiency with APIs and version control supports collaborative development and integration with other systems. Preferred skills such as cloud platform knowledge and containerization enhance your ability to deploy and scale applications efficiently in modern environments. Together, these skills empower you to deliver high-quality, secure, and scalable software solutions that meet business needs and user expectations.
09/29/2026
Full time
About Company: At ADP we use the most comprehensive data in the industry to create workplace insights that help inform products, ideas, and decisions every day. For 75 years, ADP has been building a better world of work. Learn why more than 1,000,000 clients rely on ADP and why we're always designing for people. About the Role: As a Full Stack Developer, you will play a pivotal role in designing, developing, and maintaining both the front-end and back-end components of our web applications. Your work will directly impact the user experience and the overall performance of our software products, ensuring they are scalable, secure, and efficient. You will collaborate closely with cross-functional teams including product managers, designers, and other developers to translate business requirements into technical solutions. This role demands a strong understanding of modern web technologies and best practices to deliver high-quality code and innovative features. Ultimately, your contributions will drive the continuous improvement and success of our digital platforms within the information industry. Minimum Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. Proven experience as a Full Stack Developer or similar role in software development. Proficiency with front-end technologies such as HTML5, CSS3, JavaScript, and frameworks like React, Angular, or Vue.js. Strong knowledge of back-end programming languages such as Node.js, Python, Java, or Ruby. Experience with database systems including SQL and NoSQL databases. Familiarity with RESTful API design and integration. Understanding of version control systems, preferably Git. Ability to write unit and integration tests to ensure code quality. Preferred Qualifications: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of containerization and orchestration tools like Docker and Kubernetes. Familiarity with CI/CD pipelines and automated deployment processes. Experience working in Agile/Scrum development environments. Strong understanding of web security principles and best practices. Contributions to open-source projects or a personal portfolio demonstrating coding skills. Responsibilities: Develop and maintain responsive web applications using modern front-end frameworks and back-end technologies. Collaborate with product and design teams to implement user-friendly interfaces and seamless user experiences. Write clean, maintainable, and well-documented code following industry best practices and coding standards. Perform code reviews, testing, and debugging to ensure software quality and reliability. Optimize applications for maximum speed and scalability while ensuring security compliance. Participate in agile development processes including sprint planning, daily stand-ups, and retrospectives. Troubleshoot and resolve technical issues across the full technology stack. Stay current with emerging technologies and industry trends to continuously enhance development practices. Skills: The required skills enable you to build and maintain both client-side and server-side components of web applications, ensuring seamless integration and functionality. Front-end skills allow you to create intuitive and responsive user interfaces, while back-end expertise ensures robust server logic and database management. Your proficiency with APIs and version control supports collaborative development and integration with other systems. Preferred skills such as cloud platform knowledge and containerization enhance your ability to deploy and scale applications efficiently in modern environments. Together, these skills empower you to deliver high-quality, secure, and scalable software solutions that meet business needs and user expectations.
Department: Engineering Reports to: Senior Engineering Manager Location: HQ Superior, CO Salary Range: $100,000 - $135,000 Travel Requirement: Up to 20% domestic and international travel POSITION SUMMARY The Embedded Systems Engineer will serve as the in-house technical owner for an outsourced embedded and electrical engineering strategy, responsible for defining requirements, selecting and managing external engineering partners, and ensuring delivery of production-ready firmware, electronics, controls, and connected-tool platforms for Magswitch electromechanical and robotic products. KEY RESPONSIBILITIES - Write, revise, and improve firmware for both new and existing hardware - Bring up new boards and test firmware on real hardware - Debug firmware issues using logs, scopes, and basic test tools - Work with sensors, motors, I/O, and communication interfaces - Support firmware testing for prototypes and production units - Work with the sales team to help debug issues in the field - Work closely with the overseas manufacturing team, including off-hours meetings - Work with contractors and customers as needed - Stay on track with project timelines and budgets - Identify and promptly elevate any risk to project schedules and budgets to the manager MINIMUM QUALIFICATIONS - Bachelor's degree in electrical engineering or related field - Minimum of five years of relevant experience - Knowledgeable of embedded systems and programming C/C++ - Experience with motors, actuators, sensor integration, and electrically actuated tool or automation systems - Ability to write and debug board-level drivers - Experience with MCU peripherals, including SPI, I2C, ADCs, and GPIO - Experience with MCU timers, interrupts, and DMA - Experience debugging firmware using scopes, logic analyzers, and serial tools - Strong attention to detail and willingness to learn - Effective communication and organizational skills - Ability to test products hands-on and troubleshoot issues - Ability to create internal andcustomer-facingdocumentation - Ability to identify and understand relevant regulations and standards documents to ensure the product line meets all relevant standards and regulations - Ability to make intuitive decisions based on proper discernment of ideas and options - Possess strong verbal, written, and organizational skills essential to professional communication - Ability to work ina fast-pacedenvironment - Drive to expand THE TEAM's knowledge and develop new skills - International & Domestic Travel, Up to 20% Nice to haves - Ability to create and design electrical circuits, PCBs, and control schematics - Knowledge or ability to program industrial robots and PLCs - Experience with stepper motors and writing stepper motor drivers - Experience with industrial automation protocols (Ethernet/IP,Profinet, EtherCAT, Modbus and CAN Open) ABOUT US Magswitch is a global leader in magnetic lifting solutions. We design and manufacture advanced magnet technologies that help industrial and automation customers improve material handling safety and efficiency. Our products are widely used in automotive assembly and other heavy-industry automation applications with manufacturing operations worldwide. Compensation and Benefits We offer a highly competitive compensation package designed to support your health, well-being, and financial security. Our comprehensive benefits include: Medical, dental, and vision insurance Retirement plan with 401(k) matching Paid time off Paid leave programs Health Savings Account (HSA) Flexible Spending Account (FSA) Basic and Voluntary Life insurance Short- and Long-term disability insurance Employee Assistance Program (EAP) Employee referral program Tuition reimbursement In accordance with Colorado law, the salary range disclosed for this role represents a good-faith estimate of the base compensation. Actual compensation will be based on factors such as experience, skills, and qualifications. Magswitch is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, genetic information, or any other protected characteristic. We comply with all applicable federal, state, and local nondiscrimination laws in every location where we operate. This policy applies to all aspects of employment, including recruitment, hiring, placement, promotion, compensation, benefits, training, and termination.
09/29/2026
Full time
Department: Engineering Reports to: Senior Engineering Manager Location: HQ Superior, CO Salary Range: $100,000 - $135,000 Travel Requirement: Up to 20% domestic and international travel POSITION SUMMARY The Embedded Systems Engineer will serve as the in-house technical owner for an outsourced embedded and electrical engineering strategy, responsible for defining requirements, selecting and managing external engineering partners, and ensuring delivery of production-ready firmware, electronics, controls, and connected-tool platforms for Magswitch electromechanical and robotic products. KEY RESPONSIBILITIES - Write, revise, and improve firmware for both new and existing hardware - Bring up new boards and test firmware on real hardware - Debug firmware issues using logs, scopes, and basic test tools - Work with sensors, motors, I/O, and communication interfaces - Support firmware testing for prototypes and production units - Work with the sales team to help debug issues in the field - Work closely with the overseas manufacturing team, including off-hours meetings - Work with contractors and customers as needed - Stay on track with project timelines and budgets - Identify and promptly elevate any risk to project schedules and budgets to the manager MINIMUM QUALIFICATIONS - Bachelor's degree in electrical engineering or related field - Minimum of five years of relevant experience - Knowledgeable of embedded systems and programming C/C++ - Experience with motors, actuators, sensor integration, and electrically actuated tool or automation systems - Ability to write and debug board-level drivers - Experience with MCU peripherals, including SPI, I2C, ADCs, and GPIO - Experience with MCU timers, interrupts, and DMA - Experience debugging firmware using scopes, logic analyzers, and serial tools - Strong attention to detail and willingness to learn - Effective communication and organizational skills - Ability to test products hands-on and troubleshoot issues - Ability to create internal andcustomer-facingdocumentation - Ability to identify and understand relevant regulations and standards documents to ensure the product line meets all relevant standards and regulations - Ability to make intuitive decisions based on proper discernment of ideas and options - Possess strong verbal, written, and organizational skills essential to professional communication - Ability to work ina fast-pacedenvironment - Drive to expand THE TEAM's knowledge and develop new skills - International & Domestic Travel, Up to 20% Nice to haves - Ability to create and design electrical circuits, PCBs, and control schematics - Knowledge or ability to program industrial robots and PLCs - Experience with stepper motors and writing stepper motor drivers - Experience with industrial automation protocols (Ethernet/IP,Profinet, EtherCAT, Modbus and CAN Open) ABOUT US Magswitch is a global leader in magnetic lifting solutions. We design and manufacture advanced magnet technologies that help industrial and automation customers improve material handling safety and efficiency. Our products are widely used in automotive assembly and other heavy-industry automation applications with manufacturing operations worldwide. Compensation and Benefits We offer a highly competitive compensation package designed to support your health, well-being, and financial security. Our comprehensive benefits include: Medical, dental, and vision insurance Retirement plan with 401(k) matching Paid time off Paid leave programs Health Savings Account (HSA) Flexible Spending Account (FSA) Basic and Voluntary Life insurance Short- and Long-term disability insurance Employee Assistance Program (EAP) Employee referral program Tuition reimbursement In accordance with Colorado law, the salary range disclosed for this role represents a good-faith estimate of the base compensation. Actual compensation will be based on factors such as experience, skills, and qualifications. Magswitch is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, genetic information, or any other protected characteristic. We comply with all applicable federal, state, and local nondiscrimination laws in every location where we operate. This policy applies to all aspects of employment, including recruitment, hiring, placement, promotion, compensation, benefits, training, and termination.