Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Site Reliability Engineer Who is Mastercard? At Mastercard technology, we work to connect and power an inclusive, digital economy that benefits everyone, everywhere, by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation, and delivers better business results. Technology at Mastercard What we create today will define tomorrow. Revolutionary technologies that reshape the digital economy to be more connected and inclusive than ever before. Safer, faster, more sustainable. And we need the best people to do it. Technologists who are energized by the challenges of a truly global network. With the talent and vision to create the critical systems and products that power global commerce and connect people everywhere to the vital goods and services they need every day. Working at Mastercard means being part of a unique culture. Inclusive and diverse, a rich collaboration of ideas and perspectives. A place that celebrates your strengths, values your experiences, and offers you the flexibility to shape a career across disciplines and continents. And the opportunity to work alongside experts and leaders at every level of the business, improving what exists, and inventing what's next. About the Role The Business Operations team is seeking a highly motivated and experienced Senior Site Reliability Engineer (SRE) to join our team. You will play a critical role in ensuring the reliability, scalability, and performance of our applications, supporting essential services that power Mastercard's global operations. As a thought leader in your field, you will bring technical expertise, a passion for automation, and the ability to mentor. The role of the Business Operations Site Reliability Engineer is to be the production readiness steward for Mastercard products. As Business Operations SRE, we are responsible for ensuring that our platform is stable and healthy. We break down barriers to running our products by fostering developer run ownership and empowering developers to build resilient products. We support our developers during the application build phase in software run principles that include operational design, automation, capacity planning, and monitoring that leads to fault-tolerant, scalable products. We see the big picture and help create and enforce operations standards while facilitating an agile and learning culture. We support daily operations with a hyper focus on triage, root cause by understanding the business impact of our products and subsequently performing blameless post-mortems. The goal of every Business Operations team is to engage early in the development lifecycle to be more proactive and upfront in the development process, and to proactively manage production and change activities to maximize customer experience and increase the overall value of supported applications. Business Operations teams also focus on risk management by tying all our activities together with an overarching responsibility for compliance and risk mitigation across all our environments. Ultimately, the role of Business Operations is to align Product and Customer Focused priorities with Operational needs by providing continuous feedback throughout the lifecycle. As part of the Business Operations team, you will: • Independently execute key elements of projects/processes within the Site Reliability Engineering area by applying in-depth knowledge of their discipline and area best practices to effectively resolve problems and roadblocks as they occur. • Assist in evaluating operational requirements and developing technical solutions within existing frameworks. • Support automation and scripting efforts to improve operational workflows and incident response processes. • Troubleshoot and resolve routine and some complex system issues, escalating when necessary to maintain system health. • Contribute to documentation, knowledge sharing, and best practices to enhance team operational procedures. • Collaborate with development teams and stakeholders to ensure reliability solutions align with technical and business needs. • Participate in reviews and quality assurance activities to uphold system stability standards. • May contribute to solution development for new products/services and/or manage smaller project/initiatives as an experienced individual contributor with specialized knowledge within the Site Reliability Engineering area. Role qualifications: The ideal candidate will apply the following skills independently in routine and moderately complex situations, requiring occasional guidance typically only in unfamiliar or highly complex scenarios. They will demonstrate growing consistency and reliability in applying the skills. • Observability - Ability to use scripting and tooling to implement observability solutions, enabling the collection, analysis, and visualization of metrics, logs, and traces to support incident detection, diagnosis, and continuous service improvement. • Programming and Scripting - Ability to write and maintain code and scripts to automate tasks, build operational tools, and support monitoring, deployment, and incident response using languages such as Python, Go, Bash, or similar. • Systems and Network Administration - Ability to configure, operate, and troubleshoot Linux/Unix systems and network components, applying knowledge of networking concepts, protocols, security, and system reliability. • Cloud Computing and Infrastructure - Ability to design, deploy, and manage applications and infrastructure on cloud platforms (e.g., AWS, Azure, GCP), ensuring scalability, security, availability, and operational efficiency. • Reliability and Scalability - Ability to design and operate systems for high availability, fault tolerance, and disaster recovery, while ensuring systems can scale to meet current and future demand • DevOps Practices - Ability to apply DevOps principles and practices, including CI/CD pipelines, containerization, and orchestration, to enable faster, more reliable software delivery and operations. • Troubleshooting - Capability to systematically identify, diagnose, and resolve technical issues across systems, applications, and networks, using analytical methods and tools to restore functionality, minimize disruption, and ensure stable operations. • Capacity Planning and Performance Optimization - Ability to monitor resource utilization, forecast future capacity needs, and optimize system performance to support growth, scalability, and efficient infrastructure usage. • IT Service Management - Ability to apply IT service management principles to incident, problem, and change management, ensuring reliable service delivery, effective incident response, and continuous service improvement aligned to business needs. • Proactive Monitoring and Improvement (SRE Applications) - The ability to use application reliability signals to anticipate issues, identify risks, and drive preventative improvements that enhance application performance and availability. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role . click apply for full job details
07/15/2026
Full time
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Site Reliability Engineer Who is Mastercard? At Mastercard technology, we work to connect and power an inclusive, digital economy that benefits everyone, everywhere, by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation, and delivers better business results. Technology at Mastercard What we create today will define tomorrow. Revolutionary technologies that reshape the digital economy to be more connected and inclusive than ever before. Safer, faster, more sustainable. And we need the best people to do it. Technologists who are energized by the challenges of a truly global network. With the talent and vision to create the critical systems and products that power global commerce and connect people everywhere to the vital goods and services they need every day. Working at Mastercard means being part of a unique culture. Inclusive and diverse, a rich collaboration of ideas and perspectives. A place that celebrates your strengths, values your experiences, and offers you the flexibility to shape a career across disciplines and continents. And the opportunity to work alongside experts and leaders at every level of the business, improving what exists, and inventing what's next. About the Role The Business Operations team is seeking a highly motivated and experienced Senior Site Reliability Engineer (SRE) to join our team. You will play a critical role in ensuring the reliability, scalability, and performance of our applications, supporting essential services that power Mastercard's global operations. As a thought leader in your field, you will bring technical expertise, a passion for automation, and the ability to mentor. The role of the Business Operations Site Reliability Engineer is to be the production readiness steward for Mastercard products. As Business Operations SRE, we are responsible for ensuring that our platform is stable and healthy. We break down barriers to running our products by fostering developer run ownership and empowering developers to build resilient products. We support our developers during the application build phase in software run principles that include operational design, automation, capacity planning, and monitoring that leads to fault-tolerant, scalable products. We see the big picture and help create and enforce operations standards while facilitating an agile and learning culture. We support daily operations with a hyper focus on triage, root cause by understanding the business impact of our products and subsequently performing blameless post-mortems. The goal of every Business Operations team is to engage early in the development lifecycle to be more proactive and upfront in the development process, and to proactively manage production and change activities to maximize customer experience and increase the overall value of supported applications. Business Operations teams also focus on risk management by tying all our activities together with an overarching responsibility for compliance and risk mitigation across all our environments. Ultimately, the role of Business Operations is to align Product and Customer Focused priorities with Operational needs by providing continuous feedback throughout the lifecycle. As part of the Business Operations team, you will: • Independently execute key elements of projects/processes within the Site Reliability Engineering area by applying in-depth knowledge of their discipline and area best practices to effectively resolve problems and roadblocks as they occur. • Assist in evaluating operational requirements and developing technical solutions within existing frameworks. • Support automation and scripting efforts to improve operational workflows and incident response processes. • Troubleshoot and resolve routine and some complex system issues, escalating when necessary to maintain system health. • Contribute to documentation, knowledge sharing, and best practices to enhance team operational procedures. • Collaborate with development teams and stakeholders to ensure reliability solutions align with technical and business needs. • Participate in reviews and quality assurance activities to uphold system stability standards. • May contribute to solution development for new products/services and/or manage smaller project/initiatives as an experienced individual contributor with specialized knowledge within the Site Reliability Engineering area. Role qualifications: The ideal candidate will apply the following skills independently in routine and moderately complex situations, requiring occasional guidance typically only in unfamiliar or highly complex scenarios. They will demonstrate growing consistency and reliability in applying the skills. • Observability - Ability to use scripting and tooling to implement observability solutions, enabling the collection, analysis, and visualization of metrics, logs, and traces to support incident detection, diagnosis, and continuous service improvement. • Programming and Scripting - Ability to write and maintain code and scripts to automate tasks, build operational tools, and support monitoring, deployment, and incident response using languages such as Python, Go, Bash, or similar. • Systems and Network Administration - Ability to configure, operate, and troubleshoot Linux/Unix systems and network components, applying knowledge of networking concepts, protocols, security, and system reliability. • Cloud Computing and Infrastructure - Ability to design, deploy, and manage applications and infrastructure on cloud platforms (e.g., AWS, Azure, GCP), ensuring scalability, security, availability, and operational efficiency. • Reliability and Scalability - Ability to design and operate systems for high availability, fault tolerance, and disaster recovery, while ensuring systems can scale to meet current and future demand • DevOps Practices - Ability to apply DevOps principles and practices, including CI/CD pipelines, containerization, and orchestration, to enable faster, more reliable software delivery and operations. • Troubleshooting - Capability to systematically identify, diagnose, and resolve technical issues across systems, applications, and networks, using analytical methods and tools to restore functionality, minimize disruption, and ensure stable operations. • Capacity Planning and Performance Optimization - Ability to monitor resource utilization, forecast future capacity needs, and optimize system performance to support growth, scalability, and efficient infrastructure usage. • IT Service Management - Ability to apply IT service management principles to incident, problem, and change management, ensuring reliable service delivery, effective incident response, and continuous service improvement aligned to business needs. • Proactive Monitoring and Improvement (SRE Applications) - The ability to use application reliability signals to anticipate issues, identify risks, and drive preventative improvements that enhance application performance and availability. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role . click apply for full job details
Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Salesforce, Workday, or PayPal among other leading organizations in the California Bay Area (Pleasant Hill, San Francisco, San Jose). Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor?s degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Customer Success - Project Management - Data Analytics - IT Support - Business Operations - Network Security & Support Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-five thousand dollars per year.
07/15/2026
Full time
Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Salesforce, Workday, or PayPal among other leading organizations in the California Bay Area (Pleasant Hill, San Francisco, San Jose). Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor?s degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Customer Success - Project Management - Data Analytics - IT Support - Business Operations - Network Security & Support Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-five thousand dollars per year.
Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Salesforce, Workday, or PayPal among other leading organizations in the California Bay Area (Pleasant Hill, San Francisco, San Jose). Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor?s degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Customer Success - Project Management - Data Analytics - IT Support - Business Operations - Network Security & Support Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-five thousand dollars per year.
07/15/2026
Full time
Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Salesforce, Workday, or PayPal among other leading organizations in the California Bay Area (Pleasant Hill, San Francisco, San Jose). Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor?s degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Customer Success - Project Management - Data Analytics - IT Support - Business Operations - Network Security & Support Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-five thousand dollars per year.
Job Description: As a Software Development Engineer for Amazon eXperiences & Upskilling (AXU), you will be responsible for delivering the tools and processes required to ensure ensure every experience built with Amazon technologies naturally makes customers feel 'this was designed for people like me.' Our technology enables Amazon's product, engineering, user experience, and science teams to understand how to build across Amazon broad range of customers, employees, and communities. We give teams scalable tools to deeply understand and connect with their customers, focusing on reaching and delighting a broader customer base You'll be at the forefront of building next-generation AI-powered solutions. This role is perfect for someone who combines deep technical expertise in large language models with hands-on experience architecting intelligent agent systems. In this highly strategic, individual contributor role, you will work closely with cross-functional teams across Amazon to enable the delivery of transformative inclusive experiences. You will be relentlessly focused on providing Amazon's builders with the processes and tools that will make it effortless for teams to build truly inclusive products. There will be ample opportunities to pitch ideas, design global systems and mentor junior engineers across the org. This is a rare opportunity to leave the world better than you found it by creating the tools that shape the future of inclusive experiences at Amazon. Apply now! Key job responsibilities As a Senior SDE on our team, you'll design and build sophisticated AI agent systems that leverage LLM & SLM technologies. You'll architect scalable solutions using Amazon Bedrock's agent core technologies, develop custom MCP servers, and create intelligent automation that transforms how our customers interact with AI. Your work will directly impact millions of users as you push the boundaries of what's possible with generative AI. In this highly strategic, individual contributor role, you will work closely with cross-functional teams across Amazon to enable the delivery of transformative experiences. You will be relentlessly focused on providing Amazon's builders with the processes and tools that will make it effortless for teams to meet even more customers, with everything they build. BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Experience managing and deploying ML products - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience as a mentor, tech lead or leading an engineering team - Experience working with Learning Management Systems (LMS) to track and measure training results and learning effectiveness - Advanced prompt engineering expertise (few-shot, chain-of-thought, ReAct, self-consistency techniques) - Hands-on experience with MCP Tools and integrating agent frameworks - Strong knowledge of Amazon Bedrock's agents, guardrails, knowledge bases, and model evaluation capabilities PREFERRED QUALIFICATIONS- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience developing cloud native CI/CD workflows and tools, such as Jenkins, Bamboo, TeamCity, Code Deploy (AWS) or GitLab - Experience selling AI/ML solutions - Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience with interrupt service routines - Experience in A/B testing - Experience with retrieval-augmented generation (RAG) using Amazon Bedrock Knowledge Bases and OpenSearch - Familiarity with multi-agent orchestration, workflow automation using AWS Step Functions and Bedrock Agents Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at USA, VA, Arlington - 168 400.00 USD annually
07/14/2026
Full time
Job Description: As a Software Development Engineer for Amazon eXperiences & Upskilling (AXU), you will be responsible for delivering the tools and processes required to ensure ensure every experience built with Amazon technologies naturally makes customers feel 'this was designed for people like me.' Our technology enables Amazon's product, engineering, user experience, and science teams to understand how to build across Amazon broad range of customers, employees, and communities. We give teams scalable tools to deeply understand and connect with their customers, focusing on reaching and delighting a broader customer base You'll be at the forefront of building next-generation AI-powered solutions. This role is perfect for someone who combines deep technical expertise in large language models with hands-on experience architecting intelligent agent systems. In this highly strategic, individual contributor role, you will work closely with cross-functional teams across Amazon to enable the delivery of transformative inclusive experiences. You will be relentlessly focused on providing Amazon's builders with the processes and tools that will make it effortless for teams to build truly inclusive products. There will be ample opportunities to pitch ideas, design global systems and mentor junior engineers across the org. This is a rare opportunity to leave the world better than you found it by creating the tools that shape the future of inclusive experiences at Amazon. Apply now! Key job responsibilities As a Senior SDE on our team, you'll design and build sophisticated AI agent systems that leverage LLM & SLM technologies. You'll architect scalable solutions using Amazon Bedrock's agent core technologies, develop custom MCP servers, and create intelligent automation that transforms how our customers interact with AI. Your work will directly impact millions of users as you push the boundaries of what's possible with generative AI. In this highly strategic, individual contributor role, you will work closely with cross-functional teams across Amazon to enable the delivery of transformative experiences. You will be relentlessly focused on providing Amazon's builders with the processes and tools that will make it effortless for teams to meet even more customers, with everything they build. BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Experience managing and deploying ML products - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience as a mentor, tech lead or leading an engineering team - Experience working with Learning Management Systems (LMS) to track and measure training results and learning effectiveness - Advanced prompt engineering expertise (few-shot, chain-of-thought, ReAct, self-consistency techniques) - Hands-on experience with MCP Tools and integrating agent frameworks - Strong knowledge of Amazon Bedrock's agents, guardrails, knowledge bases, and model evaluation capabilities PREFERRED QUALIFICATIONS- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience developing cloud native CI/CD workflows and tools, such as Jenkins, Bamboo, TeamCity, Code Deploy (AWS) or GitLab - Experience selling AI/ML solutions - Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience with interrupt service routines - Experience in A/B testing - Experience with retrieval-augmented generation (RAG) using Amazon Bedrock Knowledge Bases and OpenSearch - Familiarity with multi-agent orchestration, workflow automation using AWS Step Functions and Bedrock Agents Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at USA, VA, Arlington - 168 400.00 USD annually
Position:? Physical Education Program Coordinator Location: ?565 Morris Ave, Bronx, NY 10451 Salary Range:? $20.00 per hour Schedule:? 25 hours per week Employment Type: Part-Time, Non-Exempt ?About Us Founded in 1876, The Boys' Club of New York (BCNY) is a youth development organization with the mission to empower boys and young men, ages 7 to 21, by providing effective programs and a supportive community.?BCNY provides evidence-based programs to address the evolving social, emotional, health, creative, educational, and vocational needs of our members in meaningful, lasting ways. BCNY develops programs to cultivate positive qualities in members and strives to continually deepen and broaden our impact. ?Job Summary? The Program Coordinator participates in developing, implementing, supervising, and evaluating an ongoing physical fitness and recreation program that meets the needs and interests of our members. The candidate will empower our members in a recreation program modeled after best practices in the field that promotes and enhances member success. The candidate will ensure that all fitness programs and equipment operate within required risk management procedures and oversee the implementation of safety standards. He/she will work under the general direction of the Physical Education Director, but will have considerable opportunities to exercise independent judgment and initiative.? Responsibilities? Oversee daily operations of the fitness and recreation programming and gym facilities Develop, coordinate, and evaluate dynamic, creative, and educationally sound programming, including instructional programs, competitions, group classes, personal training, and assessments Seek out appropriate partnerships and collaborative opportunities with similar organizations Oversee activities at internal and external locations Assist in training, supervising, directing, and evaluating seasonal staff, volunteers, and members Flexible schedule, willing to work on weekends as needed Use behavior management strategies to defuse inappropriate behavior? Attend required department meetings and professional development trainings Other duties as assigned ? ?Qualifications? 1-2 years related experience in health, wellness, and/or fitness programming ? Considerable knowledge of safety, recreation, physical education, sports management, exercise physiology, and/or physical therapy Demonstrated organizational/leadership ability Experience in planning, designing and administering group and individual lessons/events First Aid and CPR Certification desirable What We Offer PTO: Sick time only? ? The Boys' Club of New York is an equal opportunity employer? and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other status protected by law. ?If you have a disability or other protected need requiring an accommodation, please contact Human Resources. PIcc48cd2f5d9e-3065
07/14/2026
Full time
Position:? Physical Education Program Coordinator Location: ?565 Morris Ave, Bronx, NY 10451 Salary Range:? $20.00 per hour Schedule:? 25 hours per week Employment Type: Part-Time, Non-Exempt ?About Us Founded in 1876, The Boys' Club of New York (BCNY) is a youth development organization with the mission to empower boys and young men, ages 7 to 21, by providing effective programs and a supportive community.?BCNY provides evidence-based programs to address the evolving social, emotional, health, creative, educational, and vocational needs of our members in meaningful, lasting ways. BCNY develops programs to cultivate positive qualities in members and strives to continually deepen and broaden our impact. ?Job Summary? The Program Coordinator participates in developing, implementing, supervising, and evaluating an ongoing physical fitness and recreation program that meets the needs and interests of our members. The candidate will empower our members in a recreation program modeled after best practices in the field that promotes and enhances member success. The candidate will ensure that all fitness programs and equipment operate within required risk management procedures and oversee the implementation of safety standards. He/she will work under the general direction of the Physical Education Director, but will have considerable opportunities to exercise independent judgment and initiative.? Responsibilities? Oversee daily operations of the fitness and recreation programming and gym facilities Develop, coordinate, and evaluate dynamic, creative, and educationally sound programming, including instructional programs, competitions, group classes, personal training, and assessments Seek out appropriate partnerships and collaborative opportunities with similar organizations Oversee activities at internal and external locations Assist in training, supervising, directing, and evaluating seasonal staff, volunteers, and members Flexible schedule, willing to work on weekends as needed Use behavior management strategies to defuse inappropriate behavior? Attend required department meetings and professional development trainings Other duties as assigned ? ?Qualifications? 1-2 years related experience in health, wellness, and/or fitness programming ? Considerable knowledge of safety, recreation, physical education, sports management, exercise physiology, and/or physical therapy Demonstrated organizational/leadership ability Experience in planning, designing and administering group and individual lessons/events First Aid and CPR Certification desirable What We Offer PTO: Sick time only? ? The Boys' Club of New York is an equal opportunity employer? and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other status protected by law. ?If you have a disability or other protected need requiring an accommodation, please contact Human Resources. PIcc48cd2f5d9e-3065
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Tapestry Solutions, A Boeing Company, brings over 30 years of industry experience designing, implementing, training, and supporting high-quality, cost-effective information technology and business intelligence solutions. With a dedicated team of approximately 500 professionals, we proudly serve 75 defense, commercial, and government clients across more than 50 U.S. locations and 9 countries worldwide. As a trusted partner, our employees embody our core values by consistently delivering excellence, taking full ownership, and developing innovative solutions that enable critical missions and ensure the safety of our global customers and team members. Joining Tapestry Solutions means enjoying the best of both worlds: access to the vast resources of Boeing combined with the agility and people-focused, family-oriented culture of a small business where your contributions truly matter. Tapestry Solutions, a part of Boeing Global Services (BGS), is seeking an Associate Software Engineer in Maryland Heights, MO. and/or Hazelwood, MO. In this role you will test software for the F-15 Mission Planning systems. Position Responsibilities: Develops, documents, maintains and unit tests code by utilizing software development environments and programming languages (C#, Javascript, SQL) Develops and maintains code and integrates software components into a fully functional software system. Selects, tailors and deploys processes and tools Performs troubleshooting of defects Collaborate with others to propose solutions to problems Works under general supervision Integrates and compiles software components into builds. May test limited component level software in the target environment Performs other duties as assigned Basic Qualifications (Required Skills/Experience): Bachelor's Degree Knowledge of Agile/Scrum methodologies 1+ year(s) of experience with Git 1+ year(s) experience with Object-Oriented Programming Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 2+ years of related work experience OR Bachelor's Degree and 4+ years of directly related work experience OR 8+ years of related, relevant experience 2+ years of experience in full software development life-cycle 2+ year(s) of experience with Git 2+ year(s) experience with Object-Oriented Programming Experience with Javascript Drug Free Workplace: We are a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: We strive to deliver a total rewards package that will attract, engage and retain the top talent. Elements of this package include competitive base pay and variable compensation opportunities. We also provide eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location and date of hire. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary base pay range $82,000 - $92,430 Applications for this position will be accepted until Jul. 18, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
07/14/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Tapestry Solutions, A Boeing Company, brings over 30 years of industry experience designing, implementing, training, and supporting high-quality, cost-effective information technology and business intelligence solutions. With a dedicated team of approximately 500 professionals, we proudly serve 75 defense, commercial, and government clients across more than 50 U.S. locations and 9 countries worldwide. As a trusted partner, our employees embody our core values by consistently delivering excellence, taking full ownership, and developing innovative solutions that enable critical missions and ensure the safety of our global customers and team members. Joining Tapestry Solutions means enjoying the best of both worlds: access to the vast resources of Boeing combined with the agility and people-focused, family-oriented culture of a small business where your contributions truly matter. Tapestry Solutions, a part of Boeing Global Services (BGS), is seeking an Associate Software Engineer in Maryland Heights, MO. and/or Hazelwood, MO. In this role you will test software for the F-15 Mission Planning systems. Position Responsibilities: Develops, documents, maintains and unit tests code by utilizing software development environments and programming languages (C#, Javascript, SQL) Develops and maintains code and integrates software components into a fully functional software system. Selects, tailors and deploys processes and tools Performs troubleshooting of defects Collaborate with others to propose solutions to problems Works under general supervision Integrates and compiles software components into builds. May test limited component level software in the target environment Performs other duties as assigned Basic Qualifications (Required Skills/Experience): Bachelor's Degree Knowledge of Agile/Scrum methodologies 1+ year(s) of experience with Git 1+ year(s) experience with Object-Oriented Programming Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 2+ years of related work experience OR Bachelor's Degree and 4+ years of directly related work experience OR 8+ years of related, relevant experience 2+ years of experience in full software development life-cycle 2+ year(s) of experience with Git 2+ year(s) experience with Object-Oriented Programming Experience with Javascript Drug Free Workplace: We are a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: We strive to deliver a total rewards package that will attract, engage and retain the top talent. Elements of this package include competitive base pay and variable compensation opportunities. We also provide eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location and date of hire. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary base pay range $82,000 - $92,430 Applications for this position will be accepted until Jul. 18, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
As a Software Development Engineer for Amazon eXperiences & Upskilling (AXU), you will be responsible for delivering the tools and processes required to ensure ensure every experience built with Amazon technologies naturally makes customers feel 'this was designed for people like me.' Our technology enables Amazon's product, engineering, user experience, and science teams to understand how to build across Amazon broad range of customers, employees, and communities. We give teams scalable tools to deeply understand and connect with their customers, focusing on reaching and delighting a broader customer base You'll be at the forefront of building next-generation AI-powered solutions. This role is perfect for someone who combines deep technical expertise in large language models with hands-on experience architecting intelligent agent systems. Below, you will find a complete breakdown of everything required of potential candidates, as well as how to apply Good luck. In this highly strategic, individual contributor role, you will work closely with cross-functional teams across Amazon to enable the delivery of transformative inclusive experiences. You will be relentlessly focused on providing Amazon's builders with the processes and tools that will make it effortless for teams to build truly inclusive products. There will be ample opportunities to pitch ideas, design global systems and mentor junior engineers across the org. This is a rare opportunity to leave the world better than you found it by creating the tools that shape the future of inclusive experiences at Amazon. Apply now! Key job responsibilities As a Senior SDE on our team, you'll design and build sophisticated AI agent systems that leverage LLM & SLM technologies. You'll architect scalable solutions using Amazon Bedrock's agent core technologies, develop custom MCP servers, and create intelligent automation that transforms how our customers interact with AI. Your work will directly impact millions of users as you push the boundaries of what's possible with generative AI. In this highly strategic, individual contributor role, you will work closely with cross-functional teams across Amazon to enable the delivery of transformative experiences. You will be relentlessly focused on providing Amazon's builders with the processes and tools that will make it effortless for teams to meet even more customers, with everything they build. BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Experience managing and deploying ML products - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience as a mentor, tech lead or leading an engineering team - Experience working with Learning Management Systems (LMS) to track and measure training results and learning effectiveness - Advanced prompt engineering expertise (few-shot, chain-of-thought, ReAct, self-consistency techniques) - Hands-on experience with MCP Tools and integrating agent frameworks - Strong knowledge of Amazon Bedrock's agents, guardrails, knowledge bases, and model evaluation capabilities PREFERRED QUALIFICATIONS - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience developing cloud native CI/CD workflows and tools, such as Jenkins, Bamboo, TeamCity, Code Deploy (AWS) or GitLab - Experience selling AI/ML solutions - Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience with interrupt service routines - Experience in A/B testing - Experience with retrieval-augmented generation (RAG) using Amazon Bedrock Knowledge Bases and OpenSearch - Familiarity with multi-agent orchestration, workflow automation using AWS Step Functions and Bedrock Agents Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. xibtplm Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Arlington - 168,1 ,400.00 USD annually
07/14/2026
Full time
As a Software Development Engineer for Amazon eXperiences & Upskilling (AXU), you will be responsible for delivering the tools and processes required to ensure ensure every experience built with Amazon technologies naturally makes customers feel 'this was designed for people like me.' Our technology enables Amazon's product, engineering, user experience, and science teams to understand how to build across Amazon broad range of customers, employees, and communities. We give teams scalable tools to deeply understand and connect with their customers, focusing on reaching and delighting a broader customer base You'll be at the forefront of building next-generation AI-powered solutions. This role is perfect for someone who combines deep technical expertise in large language models with hands-on experience architecting intelligent agent systems. Below, you will find a complete breakdown of everything required of potential candidates, as well as how to apply Good luck. In this highly strategic, individual contributor role, you will work closely with cross-functional teams across Amazon to enable the delivery of transformative inclusive experiences. You will be relentlessly focused on providing Amazon's builders with the processes and tools that will make it effortless for teams to build truly inclusive products. There will be ample opportunities to pitch ideas, design global systems and mentor junior engineers across the org. This is a rare opportunity to leave the world better than you found it by creating the tools that shape the future of inclusive experiences at Amazon. Apply now! Key job responsibilities As a Senior SDE on our team, you'll design and build sophisticated AI agent systems that leverage LLM & SLM technologies. You'll architect scalable solutions using Amazon Bedrock's agent core technologies, develop custom MCP servers, and create intelligent automation that transforms how our customers interact with AI. Your work will directly impact millions of users as you push the boundaries of what's possible with generative AI. In this highly strategic, individual contributor role, you will work closely with cross-functional teams across Amazon to enable the delivery of transformative experiences. You will be relentlessly focused on providing Amazon's builders with the processes and tools that will make it effortless for teams to meet even more customers, with everything they build. BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Experience managing and deploying ML products - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience as a mentor, tech lead or leading an engineering team - Experience working with Learning Management Systems (LMS) to track and measure training results and learning effectiveness - Advanced prompt engineering expertise (few-shot, chain-of-thought, ReAct, self-consistency techniques) - Hands-on experience with MCP Tools and integrating agent frameworks - Strong knowledge of Amazon Bedrock's agents, guardrails, knowledge bases, and model evaluation capabilities PREFERRED QUALIFICATIONS - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience developing cloud native CI/CD workflows and tools, such as Jenkins, Bamboo, TeamCity, Code Deploy (AWS) or GitLab - Experience selling AI/ML solutions - Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience with interrupt service routines - Experience in A/B testing - Experience with retrieval-augmented generation (RAG) using Amazon Bedrock Knowledge Bases and OpenSearch - Familiarity with multi-agent orchestration, workflow automation using AWS Step Functions and Bedrock Agents Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. xibtplm Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Arlington - 168,1 ,400.00 USD annually
Job Description: Job Description Position Title: CNC ProgrammerLocation: Montebello, CA 90640, USAJob Category: ManufacturingReq ID: CNCPR001448Schedule: Full TimePosted:Nov 4, 2025 Job Details Description Close to You Anywhere in the World Groupe SEB is the global reference for small domestic appliances, cookware and professional coffee with its portfolio of 35 emblematic brands such as Tefal, Seb, Rowenta, Moulinex, Calor, Lagostina, Krups, WMF. Present in 150 countries, we produce in more than 40 industrial sites and sell 11 products per second. We believe in the richness of diversity and aspire to create an inclusive and stimulating work environment where our more than 30,000 employees can grow and give their best. SEB Professional is a subsidiary of Groupe SEB. At SEB Professional North America, we are a leader in the professional coffee machine industry, offering three equipment lines: Schaerer, WMF, and Curtis. Our innovative coffee machines are trusted worldwide and can be found in a variety of settings, including hotels, restaurants, coffee shops, and convenience stores. You've likely enjoyed coffee from our machines at McDonald's, Dunkin', Chick-fil-A, Peet's, or Tim Hortons. Join us in delivering exceptional coffee experiences worldwide. What We Will Achieve Together: The CNC Programmer is the Subject Matter Expert and works independently, making decisions related to the interpretation from reading blueprints, translating these into the proper set up of mills, lathes, lasers to accurately set the tolerance limits in support of "just in time" delivery of fabrication to production. The CNC Programmer acts as a backup to the Supervisor/Manager covering vacation and sick time and the CNC Programmer trains others in the programming and setup for the application of job runs. Base Salary Range: $30/hr - $38/hr DOE. Key Responsibilities Include: Collaborates with engineering on building prototypesLeads and/or Assists in the design and development of machine toolingProficient in set up and operation of Turrets, Laser, Panel Bender, SafanFirst article inspectionAdjusts machine settings to operate machinery in accordance with established proceduresCommunicate machine operation or parts defectsIn collaboration with the Fabrication Manager makes decisions on spending needs for the machine shop equipmentAssists Machine Operators answering questions and solving problemsIdentify tool and die issues and perform repair (sharpening) and replacement of tool & dieObserves operation of machine and verifies conformance of formed or cut workpiece to specifications, using measuring instruments, such as fixed gauges, calipers, and micrometersSources and obtains quotes on machine shop tooling needsLeads and Supports training and preparing bench strengthEnsures that all IMS Standards are maintained and followedHas responsibility for scrap control and reductionReview production schedule for turret and laser and maximize sheet metal yieldRuns simulations for new routings and bill of materials for costing purposesMaintain cleanliness of workstationsAbility to operate electric pallet jack and hand pallet jack Requirements:Experience: Minimum of 3 years of experience in a role with equivalent experience. Preferably in a fast-paced organization with an international presence. Manufacturing experience is a must.Education: High School Diploma. Certification: CNC Programmer from accredited school/program. Key Skills: CNC Programming, Blueprint Reading, CAD/CAM Software, Machine Tooling, and Safety Standards.Core Competencies: Problem Solving, Interpersonal Skills, Action Orientation, Detail Orientation, Effective Communication and Collaboration. Overview:Type of Employment: Full time. Non-ExemptWorkplace Schedule Type: On-Site (May be required to work weekends)Position Location: Montebello Why SEB Professional North America? Whether working remotely, in one of our offices, or flexing in between, we offer a number of benefits and perks to support you and your family. Here is a sample of some of our benefits programs:Medical / Dental / Vision Insurance - Generous Employer Contribution401(K) Retirement Planw/ up to a 9% employer contribution after 1st year of employment.On Site Gym12 Paid HolidaysVoluntary Benefits and Discount programs Equal Employment Opportunity (EEO) SEB Professional 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, disability, marital status, protected veteran status, or any other category protected by federal, state, or local law. SEB Professional does not make employment decisions based on any protected class status. For more information, please see OFCCP Equal Employment. Compensation details: 30-38 Hourly Wage PIa5d18cf5acbe-3212
07/14/2026
Full time
Job Description: Job Description Position Title: CNC ProgrammerLocation: Montebello, CA 90640, USAJob Category: ManufacturingReq ID: CNCPR001448Schedule: Full TimePosted:Nov 4, 2025 Job Details Description Close to You Anywhere in the World Groupe SEB is the global reference for small domestic appliances, cookware and professional coffee with its portfolio of 35 emblematic brands such as Tefal, Seb, Rowenta, Moulinex, Calor, Lagostina, Krups, WMF. Present in 150 countries, we produce in more than 40 industrial sites and sell 11 products per second. We believe in the richness of diversity and aspire to create an inclusive and stimulating work environment where our more than 30,000 employees can grow and give their best. SEB Professional is a subsidiary of Groupe SEB. At SEB Professional North America, we are a leader in the professional coffee machine industry, offering three equipment lines: Schaerer, WMF, and Curtis. Our innovative coffee machines are trusted worldwide and can be found in a variety of settings, including hotels, restaurants, coffee shops, and convenience stores. You've likely enjoyed coffee from our machines at McDonald's, Dunkin', Chick-fil-A, Peet's, or Tim Hortons. Join us in delivering exceptional coffee experiences worldwide. What We Will Achieve Together: The CNC Programmer is the Subject Matter Expert and works independently, making decisions related to the interpretation from reading blueprints, translating these into the proper set up of mills, lathes, lasers to accurately set the tolerance limits in support of "just in time" delivery of fabrication to production. The CNC Programmer acts as a backup to the Supervisor/Manager covering vacation and sick time and the CNC Programmer trains others in the programming and setup for the application of job runs. Base Salary Range: $30/hr - $38/hr DOE. Key Responsibilities Include: Collaborates with engineering on building prototypesLeads and/or Assists in the design and development of machine toolingProficient in set up and operation of Turrets, Laser, Panel Bender, SafanFirst article inspectionAdjusts machine settings to operate machinery in accordance with established proceduresCommunicate machine operation or parts defectsIn collaboration with the Fabrication Manager makes decisions on spending needs for the machine shop equipmentAssists Machine Operators answering questions and solving problemsIdentify tool and die issues and perform repair (sharpening) and replacement of tool & dieObserves operation of machine and verifies conformance of formed or cut workpiece to specifications, using measuring instruments, such as fixed gauges, calipers, and micrometersSources and obtains quotes on machine shop tooling needsLeads and Supports training and preparing bench strengthEnsures that all IMS Standards are maintained and followedHas responsibility for scrap control and reductionReview production schedule for turret and laser and maximize sheet metal yieldRuns simulations for new routings and bill of materials for costing purposesMaintain cleanliness of workstationsAbility to operate electric pallet jack and hand pallet jack Requirements:Experience: Minimum of 3 years of experience in a role with equivalent experience. Preferably in a fast-paced organization with an international presence. Manufacturing experience is a must.Education: High School Diploma. Certification: CNC Programmer from accredited school/program. Key Skills: CNC Programming, Blueprint Reading, CAD/CAM Software, Machine Tooling, and Safety Standards.Core Competencies: Problem Solving, Interpersonal Skills, Action Orientation, Detail Orientation, Effective Communication and Collaboration. Overview:Type of Employment: Full time. Non-ExemptWorkplace Schedule Type: On-Site (May be required to work weekends)Position Location: Montebello Why SEB Professional North America? Whether working remotely, in one of our offices, or flexing in between, we offer a number of benefits and perks to support you and your family. Here is a sample of some of our benefits programs:Medical / Dental / Vision Insurance - Generous Employer Contribution401(K) Retirement Planw/ up to a 9% employer contribution after 1st year of employment.On Site Gym12 Paid HolidaysVoluntary Benefits and Discount programs Equal Employment Opportunity (EEO) SEB Professional 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, disability, marital status, protected veteran status, or any other category protected by federal, state, or local law. SEB Professional does not make employment decisions based on any protected class status. For more information, please see OFCCP Equal Employment. Compensation details: 30-38 Hourly Wage PIa5d18cf5acbe-3212
Job Description: Job Description Position Title: CNC ProgrammerLocation: Montebello, CA 90640, USAJob Category: ManufacturingReq ID: CNCPR001448Schedule: Full TimePosted:Nov 4, 2025 Job Details Description Close to You Anywhere in the World Groupe SEB is the global reference for small domestic appliances, cookware and professional coffee with its portfolio of 35 emblematic brands such as Tefal, Seb, Rowenta, Moulinex, Calor, Lagostina, Krups, WMF. Present in 150 countries, we produce in more than 40 industrial sites and sell 11 products per second. We believe in the richness of diversity and aspire to create an inclusive and stimulating work environment where our more than 30,000 employees can grow and give their best. SEB Professional is a subsidiary of Groupe SEB. At SEB Professional North America, we are a leader in the professional coffee machine industry, offering three equipment lines: Schaerer, WMF, and Curtis. Our innovative coffee machines are trusted worldwide and can be found in a variety of settings, including hotels, restaurants, coffee shops, and convenience stores. You've likely enjoyed coffee from our machines at McDonald's, Dunkin', Chick-fil-A, Peet's, or Tim Hortons. Join us in delivering exceptional coffee experiences worldwide. What We Will Achieve Together: The CNC Programmer is the Subject Matter Expert and works independently, making decisions related to the interpretation from reading blueprints, translating these into the proper set up of mills, lathes, lasers to accurately set the tolerance limits in support of "just in time" delivery of fabrication to production. The CNC Programmer acts as a backup to the Supervisor/Manager covering vacation and sick time and the CNC Programmer trains others in the programming and setup for the application of job runs. Base Salary Range: $30/hr - $38/hr DOE. Key Responsibilities Include: Collaborates with engineering on building prototypesLeads and/or Assists in the design and development of machine toolingProficient in set up and operation of Turrets, Laser, Panel Bender, SafanFirst article inspectionAdjusts machine settings to operate machinery in accordance with established proceduresCommunicate machine operation or parts defectsIn collaboration with the Fabrication Manager makes decisions on spending needs for the machine shop equipmentAssists Machine Operators answering questions and solving problemsIdentify tool and die issues and perform repair (sharpening) and replacement of tool & dieObserves operation of machine and verifies conformance of formed or cut workpiece to specifications, using measuring instruments, such as fixed gauges, calipers, and micrometersSources and obtains quotes on machine shop tooling needsLeads and Supports training and preparing bench strengthEnsures that all IMS Standards are maintained and followedHas responsibility for scrap control and reductionReview production schedule for turret and laser and maximize sheet metal yieldRuns simulations for new routings and bill of materials for costing purposesMaintain cleanliness of workstationsAbility to operate electric pallet jack and hand pallet jack Requirements:Experience: Minimum of 3 years of experience in a role with equivalent experience. Preferably in a fast-paced organization with an international presence. Manufacturing experience is a must.Education: High School Diploma. Certification: CNC Programmer from accredited school/program. Key Skills: CNC Programming, Blueprint Reading, CAD/CAM Software, Machine Tooling, and Safety Standards.Core Competencies: Problem Solving, Interpersonal Skills, Action Orientation, Detail Orientation, Effective Communication and Collaboration. Overview:Type of Employment: Full time. Non-ExemptWorkplace Schedule Type: On-Site (May be required to work weekends)Position Location: Montebello Why SEB Professional North America? Whether working remotely, in one of our offices, or flexing in between, we offer a number of benefits and perks to support you and your family. Here is a sample of some of our benefits programs:Medical / Dental / Vision Insurance - Generous Employer Contribution401(K) Retirement Planw/ up to a 9% employer contribution after 1st year of employment.On Site Gym12 Paid HolidaysVoluntary Benefits and Discount programs Equal Employment Opportunity (EEO) SEB Professional 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, disability, marital status, protected veteran status, or any other category protected by federal, state, or local law. SEB Professional does not make employment decisions based on any protected class status. For more information, please see OFCCP Equal Employment. Compensation details: 30-38 Hourly Wage PIa5d18cf5acbe-3212
07/14/2026
Full time
Job Description: Job Description Position Title: CNC ProgrammerLocation: Montebello, CA 90640, USAJob Category: ManufacturingReq ID: CNCPR001448Schedule: Full TimePosted:Nov 4, 2025 Job Details Description Close to You Anywhere in the World Groupe SEB is the global reference for small domestic appliances, cookware and professional coffee with its portfolio of 35 emblematic brands such as Tefal, Seb, Rowenta, Moulinex, Calor, Lagostina, Krups, WMF. Present in 150 countries, we produce in more than 40 industrial sites and sell 11 products per second. We believe in the richness of diversity and aspire to create an inclusive and stimulating work environment where our more than 30,000 employees can grow and give their best. SEB Professional is a subsidiary of Groupe SEB. At SEB Professional North America, we are a leader in the professional coffee machine industry, offering three equipment lines: Schaerer, WMF, and Curtis. Our innovative coffee machines are trusted worldwide and can be found in a variety of settings, including hotels, restaurants, coffee shops, and convenience stores. You've likely enjoyed coffee from our machines at McDonald's, Dunkin', Chick-fil-A, Peet's, or Tim Hortons. Join us in delivering exceptional coffee experiences worldwide. What We Will Achieve Together: The CNC Programmer is the Subject Matter Expert and works independently, making decisions related to the interpretation from reading blueprints, translating these into the proper set up of mills, lathes, lasers to accurately set the tolerance limits in support of "just in time" delivery of fabrication to production. The CNC Programmer acts as a backup to the Supervisor/Manager covering vacation and sick time and the CNC Programmer trains others in the programming and setup for the application of job runs. Base Salary Range: $30/hr - $38/hr DOE. Key Responsibilities Include: Collaborates with engineering on building prototypesLeads and/or Assists in the design and development of machine toolingProficient in set up and operation of Turrets, Laser, Panel Bender, SafanFirst article inspectionAdjusts machine settings to operate machinery in accordance with established proceduresCommunicate machine operation or parts defectsIn collaboration with the Fabrication Manager makes decisions on spending needs for the machine shop equipmentAssists Machine Operators answering questions and solving problemsIdentify tool and die issues and perform repair (sharpening) and replacement of tool & dieObserves operation of machine and verifies conformance of formed or cut workpiece to specifications, using measuring instruments, such as fixed gauges, calipers, and micrometersSources and obtains quotes on machine shop tooling needsLeads and Supports training and preparing bench strengthEnsures that all IMS Standards are maintained and followedHas responsibility for scrap control and reductionReview production schedule for turret and laser and maximize sheet metal yieldRuns simulations for new routings and bill of materials for costing purposesMaintain cleanliness of workstationsAbility to operate electric pallet jack and hand pallet jack Requirements:Experience: Minimum of 3 years of experience in a role with equivalent experience. Preferably in a fast-paced organization with an international presence. Manufacturing experience is a must.Education: High School Diploma. Certification: CNC Programmer from accredited school/program. Key Skills: CNC Programming, Blueprint Reading, CAD/CAM Software, Machine Tooling, and Safety Standards.Core Competencies: Problem Solving, Interpersonal Skills, Action Orientation, Detail Orientation, Effective Communication and Collaboration. Overview:Type of Employment: Full time. Non-ExemptWorkplace Schedule Type: On-Site (May be required to work weekends)Position Location: Montebello Why SEB Professional North America? Whether working remotely, in one of our offices, or flexing in between, we offer a number of benefits and perks to support you and your family. Here is a sample of some of our benefits programs:Medical / Dental / Vision Insurance - Generous Employer Contribution401(K) Retirement Planw/ up to a 9% employer contribution after 1st year of employment.On Site Gym12 Paid HolidaysVoluntary Benefits and Discount programs Equal Employment Opportunity (EEO) SEB Professional 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, disability, marital status, protected veteran status, or any other category protected by federal, state, or local law. SEB Professional does not make employment decisions based on any protected class status. For more information, please see OFCCP Equal Employment. Compensation details: 30-38 Hourly Wage PIa5d18cf5acbe-3212
Job Description: Job Description POSITION PURPOSE: The program manager is responsible for ensuring that participants' needs are being met to the highest standard in the following areas including but not limited to medical, financial, social and emotional. The program manager is also responsible for the overall personnel management of quality Direct Support Professionals and support staff who are committed to carrying out Paladin's mission WORK CONDUCT:• Maintains a positive and enthusiastic attitude.• Works harmoniously and effectively with staff and the public.• Arrives to work on time.• Keeps work space clean and organized.• Stays awake and alert while on work time.• Works a flexible schedule including evenings and weekends as assigned.• Works the full hours per week for the position.• Effectively works under stressful situations with problem customersESSENTIAL FUNCTIONS:• Maintains a positive and enthusiastic attitude.• Ensures service operations, processes and staff practices promote maximum participation of the individuals receiving services.• Leads the development of staff in relation to identifying and understanding client needs.• Promotes a culture of continuous improvement among staff by establishing quality systems and processes that are established and adhered to properly. • Be available on an on-call basis as appropriate; will work with other residential supervisors, case managers and respite manager to develop on-call strategies.• Monitor key performance indicators and business plan objectives.• Manages the forecasting, establishment and maintenance of appropriate staffing structures and levels to meet service delivery requirements. • Promotes the work of Paladin and the needs of persons with disabilities through attendance at various community events, and develops appropriate networks within the wider community.• Supervises assigned staff positions, enforces agency policies and procedures, and conducts performance evaluations• Attends necessary meetings, in-services, and professional development activities.• Responsible for making sure that all required program staff and volunteer training is completed based on all applicable standards, guidelines and agency requirements by approved trainers.• Coordinates and communicates services with appropriate agency staff, external agency. Works closely with assigned Program Managers to insure proper service delivery.• Follows all agency policies and procedures regarding the use and release of confidential information and confidential protected health information.• Complies with Paladin human resource and fiscal policies, Employee Handbook, county, state and federal laws and regulations as they relate to Paladin, Inc.• Shall perform any other job related function as assigned.CASE MANAGEMENT:• Ensures the atmosphere is therapeutic provides optimal growth for individuals, and preserves individuals dignity and self-worth• Schedule, lead, and participate in interdisciplinary team meetings, while assuring continuity between services.• Ensure timely reporting is completed for internal/external reportable incidents.• Ensures timely and thorough communication in regard to participants care with interdisciplinary team.• Maintains up to date records and reports and general case management procedures in compliance with funding sources, CARF, and agency requirements.• Develops and implements individualized program plans (ISP's) with each consumer assigned a case load.• Communicates directly with families, guardians, case managers/service coordinators in a manner that encourages the continued growth and happiness of participants.• Promotes a positive, cooperative relationship with day programs or other support services.• Assures proper implementation of participants' plan including but not limited to (dietary, high risk, behavioral etc.).• Monitors participants financials by regularly checking participants' cash on hand, bank statements, and coordinate individuals spend down as appropriate.• Works closely with eligibility specialist to ensure ongoing benefits are maintained including but not limited to (Medicaid, social security, etc.).• Verbally report, investigate, complete written reports and follow up on all aspects of individual abuse, neglect, exploitation cases with prescribed time frames.PERSONNEL MANAGEMENT:• Know and assure implementation of all organization policies and procedures.• Ensure accessibility to staff as needed to provide guidance and instruction.• Ensure employees are adequately trained on an as needed basis in all areas of program implementation including but not limited to (client specific, financials, medication administration, program specific, etc.).• Complete disciplinary action and termination actions of program staff in consultation with supervisor and Human Resources Department.• Provide thorough, complete, and timely on-site orientation to new employees.• Provide coaching and development of all employees.• Monitor staff development and conditions of employment (including agency wide trainings and various compliance items.• Monitor and audit employee time reports in accordance with payroll deadlines. Authorize overtime and mileage expense for employees within assigned budgets. Approve time cards while assuring accuracy of pay and benefit category.• Develop and implement core schedules for employees according to the needs of individual and requirements of the program. If unable to find adequate staff to fill a shift, program manager may need to perform direct support professional responsibilities.• Conducts annual and as needed performance :• Ensure timely completion of job duties.• Effectively contributes to problem solving and developing new processes and procedures, in response to changing customer service expectations and system wide goals.• Effectively communicates to staff and customers verbally and in writing.• Effectively contributes to the work and success of the team.• Report, acknowledge, and resolve complaints from outside contacts.TECHNOLOGY:• Effectively uses the following equipment:• Laptops, desktops, or other computer equipment• Printer, copier, fax, scanner, etc.• Mobile Devices• External storage devices• Effectively learns and uses integrated library software, Microsoft Office Suite, google apps for work, open source office software, and Active Directory• Effectively uses the internet• Effective learns and uses email.• Effectively learns and uses social media and apps as :• While performing the duties of this job, the employee is regularly required to use hands to: handle or feel objects, tools, or controls; reach with hands and arms; talk or hear; smell. The employee is occasionally required to sit, stand, walk, climb, balance, stoop, kneel, crouch, or crawl. The employee must occasionally life and/or move up to 50 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to focus. The employee must be able to perceive, initiate, or respond to fire alarms, warning sirens, and telephone system all call messages in a calm, rational manner, making sure that the other employs and patron are safe and out of the building.• While performing the duties of this job, the employee may be exposed to room temperature changes.• While performing the duties of this job, the employee may be exposed to noise levels that are low to moderateQualificationsKNOWLEDGE AND SKILLS:• Strong communication skills (both written and oral).• Ability to independently organize time and duties to conduct the daily, weekly and monthly responsibilities of residential services• Ability to synthesize data in client records to develop and implement appropriate and relevant habilitation plans and work adjustment training techniques.COMMUNICATION SKILLS:• Ability to communicate effectively and persuasively (verbally and in writing) with a wide range of stakeholders.TOOLS AND EQUIPMENT:• Basic computer skills.COGNITIVE REQUIREMENTS:• Ability to analyze data, program related issues and needs to facilitate planning and staff and program development.• Ability to work with a variety of individuals and agencies to effectively and efficiently coordinate services.• Work with minimal supervision.• Ability to handle multiple tasks and/or demands of one's time from others.• Ability to work as a team member to facilitate service delivery.• Patience and diplomacy when dealing with difficult clients, staff, and other agencies.• Ability to handle stress.• Ability to train staff in their various job duties.EDUCATIONAL AND EXPERIENCE REQUIREMENTS:• Direct supervisory experience within a residential setting for persons with disabilities required. • Bachelor's Degree in rehabilitation, social service or humanities, preferred.• Ability is required to intervene in crisis situations, to work cooperatively and effectively with staff and others in a team situation.• Ability to collect, analyze and present information regarding programming; to make decisions relating to services provided to consumers.• Ability to mediate concerns and problems with providers, clients, caregivers and staff in order to resolve programming problems.ADDITIONAL INFORMATION:• Required to change work and/or personal schedules to meet time requirements of position.• Responsible for the safety of all staff and clients under his/her supervision.• May be asked to serve on various agency committees PI4bb0ccce55c9-3648
07/14/2026
Full time
Job Description: Job Description POSITION PURPOSE: The program manager is responsible for ensuring that participants' needs are being met to the highest standard in the following areas including but not limited to medical, financial, social and emotional. The program manager is also responsible for the overall personnel management of quality Direct Support Professionals and support staff who are committed to carrying out Paladin's mission WORK CONDUCT:• Maintains a positive and enthusiastic attitude.• Works harmoniously and effectively with staff and the public.• Arrives to work on time.• Keeps work space clean and organized.• Stays awake and alert while on work time.• Works a flexible schedule including evenings and weekends as assigned.• Works the full hours per week for the position.• Effectively works under stressful situations with problem customersESSENTIAL FUNCTIONS:• Maintains a positive and enthusiastic attitude.• Ensures service operations, processes and staff practices promote maximum participation of the individuals receiving services.• Leads the development of staff in relation to identifying and understanding client needs.• Promotes a culture of continuous improvement among staff by establishing quality systems and processes that are established and adhered to properly. • Be available on an on-call basis as appropriate; will work with other residential supervisors, case managers and respite manager to develop on-call strategies.• Monitor key performance indicators and business plan objectives.• Manages the forecasting, establishment and maintenance of appropriate staffing structures and levels to meet service delivery requirements. • Promotes the work of Paladin and the needs of persons with disabilities through attendance at various community events, and develops appropriate networks within the wider community.• Supervises assigned staff positions, enforces agency policies and procedures, and conducts performance evaluations• Attends necessary meetings, in-services, and professional development activities.• Responsible for making sure that all required program staff and volunteer training is completed based on all applicable standards, guidelines and agency requirements by approved trainers.• Coordinates and communicates services with appropriate agency staff, external agency. Works closely with assigned Program Managers to insure proper service delivery.• Follows all agency policies and procedures regarding the use and release of confidential information and confidential protected health information.• Complies with Paladin human resource and fiscal policies, Employee Handbook, county, state and federal laws and regulations as they relate to Paladin, Inc.• Shall perform any other job related function as assigned.CASE MANAGEMENT:• Ensures the atmosphere is therapeutic provides optimal growth for individuals, and preserves individuals dignity and self-worth• Schedule, lead, and participate in interdisciplinary team meetings, while assuring continuity between services.• Ensure timely reporting is completed for internal/external reportable incidents.• Ensures timely and thorough communication in regard to participants care with interdisciplinary team.• Maintains up to date records and reports and general case management procedures in compliance with funding sources, CARF, and agency requirements.• Develops and implements individualized program plans (ISP's) with each consumer assigned a case load.• Communicates directly with families, guardians, case managers/service coordinators in a manner that encourages the continued growth and happiness of participants.• Promotes a positive, cooperative relationship with day programs or other support services.• Assures proper implementation of participants' plan including but not limited to (dietary, high risk, behavioral etc.).• Monitors participants financials by regularly checking participants' cash on hand, bank statements, and coordinate individuals spend down as appropriate.• Works closely with eligibility specialist to ensure ongoing benefits are maintained including but not limited to (Medicaid, social security, etc.).• Verbally report, investigate, complete written reports and follow up on all aspects of individual abuse, neglect, exploitation cases with prescribed time frames.PERSONNEL MANAGEMENT:• Know and assure implementation of all organization policies and procedures.• Ensure accessibility to staff as needed to provide guidance and instruction.• Ensure employees are adequately trained on an as needed basis in all areas of program implementation including but not limited to (client specific, financials, medication administration, program specific, etc.).• Complete disciplinary action and termination actions of program staff in consultation with supervisor and Human Resources Department.• Provide thorough, complete, and timely on-site orientation to new employees.• Provide coaching and development of all employees.• Monitor staff development and conditions of employment (including agency wide trainings and various compliance items.• Monitor and audit employee time reports in accordance with payroll deadlines. Authorize overtime and mileage expense for employees within assigned budgets. Approve time cards while assuring accuracy of pay and benefit category.• Develop and implement core schedules for employees according to the needs of individual and requirements of the program. If unable to find adequate staff to fill a shift, program manager may need to perform direct support professional responsibilities.• Conducts annual and as needed performance :• Ensure timely completion of job duties.• Effectively contributes to problem solving and developing new processes and procedures, in response to changing customer service expectations and system wide goals.• Effectively communicates to staff and customers verbally and in writing.• Effectively contributes to the work and success of the team.• Report, acknowledge, and resolve complaints from outside contacts.TECHNOLOGY:• Effectively uses the following equipment:• Laptops, desktops, or other computer equipment• Printer, copier, fax, scanner, etc.• Mobile Devices• External storage devices• Effectively learns and uses integrated library software, Microsoft Office Suite, google apps for work, open source office software, and Active Directory• Effectively uses the internet• Effective learns and uses email.• Effectively learns and uses social media and apps as :• While performing the duties of this job, the employee is regularly required to use hands to: handle or feel objects, tools, or controls; reach with hands and arms; talk or hear; smell. The employee is occasionally required to sit, stand, walk, climb, balance, stoop, kneel, crouch, or crawl. The employee must occasionally life and/or move up to 50 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to focus. The employee must be able to perceive, initiate, or respond to fire alarms, warning sirens, and telephone system all call messages in a calm, rational manner, making sure that the other employs and patron are safe and out of the building.• While performing the duties of this job, the employee may be exposed to room temperature changes.• While performing the duties of this job, the employee may be exposed to noise levels that are low to moderateQualificationsKNOWLEDGE AND SKILLS:• Strong communication skills (both written and oral).• Ability to independently organize time and duties to conduct the daily, weekly and monthly responsibilities of residential services• Ability to synthesize data in client records to develop and implement appropriate and relevant habilitation plans and work adjustment training techniques.COMMUNICATION SKILLS:• Ability to communicate effectively and persuasively (verbally and in writing) with a wide range of stakeholders.TOOLS AND EQUIPMENT:• Basic computer skills.COGNITIVE REQUIREMENTS:• Ability to analyze data, program related issues and needs to facilitate planning and staff and program development.• Ability to work with a variety of individuals and agencies to effectively and efficiently coordinate services.• Work with minimal supervision.• Ability to handle multiple tasks and/or demands of one's time from others.• Ability to work as a team member to facilitate service delivery.• Patience and diplomacy when dealing with difficult clients, staff, and other agencies.• Ability to handle stress.• Ability to train staff in their various job duties.EDUCATIONAL AND EXPERIENCE REQUIREMENTS:• Direct supervisory experience within a residential setting for persons with disabilities required. • Bachelor's Degree in rehabilitation, social service or humanities, preferred.• Ability is required to intervene in crisis situations, to work cooperatively and effectively with staff and others in a team situation.• Ability to collect, analyze and present information regarding programming; to make decisions relating to services provided to consumers.• Ability to mediate concerns and problems with providers, clients, caregivers and staff in order to resolve programming problems.ADDITIONAL INFORMATION:• Required to change work and/or personal schedules to meet time requirements of position.• Responsible for the safety of all staff and clients under his/her supervision.• May be asked to serve on various agency committees PI4bb0ccce55c9-3648
Job Description: Job Description POSITION PURPOSE: The program manager is responsible for ensuring that participants' needs are being met to the highest standard in the following areas including but not limited to medical, financial, social and emotional. The program manager is also responsible for the overall personnel management of quality Direct Support Professionals and support staff who are committed to carrying out Paladin's mission WORK CONDUCT:• Maintains a positive and enthusiastic attitude.• Works harmoniously and effectively with staff and the public.• Arrives to work on time.• Keeps work space clean and organized.• Stays awake and alert while on work time.• Works a flexible schedule including evenings and weekends as assigned.• Works the full hours per week for the position.• Effectively works under stressful situations with problem customersESSENTIAL FUNCTIONS:• Maintains a positive and enthusiastic attitude.• Ensures service operations, processes and staff practices promote maximum participation of the individuals receiving services.• Leads the development of staff in relation to identifying and understanding client needs.• Promotes a culture of continuous improvement among staff by establishing quality systems and processes that are established and adhered to properly. • Be available on an on-call basis as appropriate; will work with other residential supervisors, case managers and respite manager to develop on-call strategies.• Monitor key performance indicators and business plan objectives.• Manages the forecasting, establishment and maintenance of appropriate staffing structures and levels to meet service delivery requirements. • Promotes the work of Paladin and the needs of persons with disabilities through attendance at various community events, and develops appropriate networks within the wider community.• Supervises assigned staff positions, enforces agency policies and procedures, and conducts performance evaluations• Attends necessary meetings, in-services, and professional development activities.• Responsible for making sure that all required program staff and volunteer training is completed based on all applicable standards, guidelines and agency requirements by approved trainers.• Coordinates and communicates services with appropriate agency staff, external agency. Works closely with assigned Program Managers to insure proper service delivery.• Follows all agency policies and procedures regarding the use and release of confidential information and confidential protected health information.• Complies with Paladin human resource and fiscal policies, Employee Handbook, county, state and federal laws and regulations as they relate to Paladin, Inc.• Shall perform any other job related function as assigned.CASE MANAGEMENT:• Ensures the atmosphere is therapeutic provides optimal growth for individuals, and preserves individuals dignity and self-worth• Schedule, lead, and participate in interdisciplinary team meetings, while assuring continuity between services.• Ensure timely reporting is completed for internal/external reportable incidents.• Ensures timely and thorough communication in regard to participants care with interdisciplinary team.• Maintains up to date records and reports and general case management procedures in compliance with funding sources, CARF, and agency requirements.• Develops and implements individualized program plans (ISP's) with each consumer assigned a case load.• Communicates directly with families, guardians, case managers/service coordinators in a manner that encourages the continued growth and happiness of participants.• Promotes a positive, cooperative relationship with day programs or other support services.• Assures proper implementation of participants' plan including but not limited to (dietary, high risk, behavioral etc.).• Monitors participants financials by regularly checking participants' cash on hand, bank statements, and coordinate individuals spend down as appropriate.• Works closely with eligibility specialist to ensure ongoing benefits are maintained including but not limited to (Medicaid, social security, etc.).• Verbally report, investigate, complete written reports and follow up on all aspects of individual abuse, neglect, exploitation cases with prescribed time frames.PERSONNEL MANAGEMENT:• Know and assure implementation of all organization policies and procedures.• Ensure accessibility to staff as needed to provide guidance and instruction.• Ensure employees are adequately trained on an as needed basis in all areas of program implementation including but not limited to (client specific, financials, medication administration, program specific, etc.).• Complete disciplinary action and termination actions of program staff in consultation with supervisor and Human Resources Department.• Provide thorough, complete, and timely on-site orientation to new employees.• Provide coaching and development of all employees.• Monitor staff development and conditions of employment (including agency wide trainings and various compliance items.• Monitor and audit employee time reports in accordance with payroll deadlines. Authorize overtime and mileage expense for employees within assigned budgets. Approve time cards while assuring accuracy of pay and benefit category.• Develop and implement core schedules for employees according to the needs of individual and requirements of the program. If unable to find adequate staff to fill a shift, program manager may need to perform direct support professional responsibilities.• Conducts annual and as needed performance :• Ensure timely completion of job duties.• Effectively contributes to problem solving and developing new processes and procedures, in response to changing customer service expectations and system wide goals.• Effectively communicates to staff and customers verbally and in writing.• Effectively contributes to the work and success of the team.• Report, acknowledge, and resolve complaints from outside contacts.TECHNOLOGY:• Effectively uses the following equipment:• Laptops, desktops, or other computer equipment• Printer, copier, fax, scanner, etc.• Mobile Devices• External storage devices• Effectively learns and uses integrated library software, Microsoft Office Suite, google apps for work, open source office software, and Active Directory• Effectively uses the internet• Effective learns and uses email.• Effectively learns and uses social media and apps as :• While performing the duties of this job, the employee is regularly required to use hands to: handle or feel objects, tools, or controls; reach with hands and arms; talk or hear; smell. The employee is occasionally required to sit, stand, walk, climb, balance, stoop, kneel, crouch, or crawl. The employee must occasionally life and/or move up to 50 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to focus. The employee must be able to perceive, initiate, or respond to fire alarms, warning sirens, and telephone system all call messages in a calm, rational manner, making sure that the other employs and patron are safe and out of the building.• While performing the duties of this job, the employee may be exposed to room temperature changes.• While performing the duties of this job, the employee may be exposed to noise levels that are low to moderateQualificationsKNOWLEDGE AND SKILLS:• Strong communication skills (both written and oral).• Ability to independently organize time and duties to conduct the daily, weekly and monthly responsibilities of residential services• Ability to synthesize data in client records to develop and implement appropriate and relevant habilitation plans and work adjustment training techniques.COMMUNICATION SKILLS:• Ability to communicate effectively and persuasively (verbally and in writing) with a wide range of stakeholders.TOOLS AND EQUIPMENT:• Basic computer skills.COGNITIVE REQUIREMENTS:• Ability to analyze data, program related issues and needs to facilitate planning and staff and program development.• Ability to work with a variety of individuals and agencies to effectively and efficiently coordinate services.• Work with minimal supervision.• Ability to handle multiple tasks and/or demands of one's time from others.• Ability to work as a team member to facilitate service delivery.• Patience and diplomacy when dealing with difficult clients, staff, and other agencies.• Ability to handle stress.• Ability to train staff in their various job duties.EDUCATIONAL AND EXPERIENCE REQUIREMENTS:• Direct supervisory experience within a residential setting for persons with disabilities required. • Bachelor's Degree in rehabilitation, social service or humanities, preferred.• Ability is required to intervene in crisis situations, to work cooperatively and effectively with staff and others in a team situation.• Ability to collect, analyze and present information regarding programming; to make decisions relating to services provided to consumers.• Ability to mediate concerns and problems with providers, clients, caregivers and staff in order to resolve programming problems.ADDITIONAL INFORMATION:• Required to change work and/or personal schedules to meet time requirements of position.• Responsible for the safety of all staff and clients under his/her supervision.• May be asked to serve on various agency committees PI4bb0ccce55c9-3648
07/14/2026
Full time
Job Description: Job Description POSITION PURPOSE: The program manager is responsible for ensuring that participants' needs are being met to the highest standard in the following areas including but not limited to medical, financial, social and emotional. The program manager is also responsible for the overall personnel management of quality Direct Support Professionals and support staff who are committed to carrying out Paladin's mission WORK CONDUCT:• Maintains a positive and enthusiastic attitude.• Works harmoniously and effectively with staff and the public.• Arrives to work on time.• Keeps work space clean and organized.• Stays awake and alert while on work time.• Works a flexible schedule including evenings and weekends as assigned.• Works the full hours per week for the position.• Effectively works under stressful situations with problem customersESSENTIAL FUNCTIONS:• Maintains a positive and enthusiastic attitude.• Ensures service operations, processes and staff practices promote maximum participation of the individuals receiving services.• Leads the development of staff in relation to identifying and understanding client needs.• Promotes a culture of continuous improvement among staff by establishing quality systems and processes that are established and adhered to properly. • Be available on an on-call basis as appropriate; will work with other residential supervisors, case managers and respite manager to develop on-call strategies.• Monitor key performance indicators and business plan objectives.• Manages the forecasting, establishment and maintenance of appropriate staffing structures and levels to meet service delivery requirements. • Promotes the work of Paladin and the needs of persons with disabilities through attendance at various community events, and develops appropriate networks within the wider community.• Supervises assigned staff positions, enforces agency policies and procedures, and conducts performance evaluations• Attends necessary meetings, in-services, and professional development activities.• Responsible for making sure that all required program staff and volunteer training is completed based on all applicable standards, guidelines and agency requirements by approved trainers.• Coordinates and communicates services with appropriate agency staff, external agency. Works closely with assigned Program Managers to insure proper service delivery.• Follows all agency policies and procedures regarding the use and release of confidential information and confidential protected health information.• Complies with Paladin human resource and fiscal policies, Employee Handbook, county, state and federal laws and regulations as they relate to Paladin, Inc.• Shall perform any other job related function as assigned.CASE MANAGEMENT:• Ensures the atmosphere is therapeutic provides optimal growth for individuals, and preserves individuals dignity and self-worth• Schedule, lead, and participate in interdisciplinary team meetings, while assuring continuity between services.• Ensure timely reporting is completed for internal/external reportable incidents.• Ensures timely and thorough communication in regard to participants care with interdisciplinary team.• Maintains up to date records and reports and general case management procedures in compliance with funding sources, CARF, and agency requirements.• Develops and implements individualized program plans (ISP's) with each consumer assigned a case load.• Communicates directly with families, guardians, case managers/service coordinators in a manner that encourages the continued growth and happiness of participants.• Promotes a positive, cooperative relationship with day programs or other support services.• Assures proper implementation of participants' plan including but not limited to (dietary, high risk, behavioral etc.).• Monitors participants financials by regularly checking participants' cash on hand, bank statements, and coordinate individuals spend down as appropriate.• Works closely with eligibility specialist to ensure ongoing benefits are maintained including but not limited to (Medicaid, social security, etc.).• Verbally report, investigate, complete written reports and follow up on all aspects of individual abuse, neglect, exploitation cases with prescribed time frames.PERSONNEL MANAGEMENT:• Know and assure implementation of all organization policies and procedures.• Ensure accessibility to staff as needed to provide guidance and instruction.• Ensure employees are adequately trained on an as needed basis in all areas of program implementation including but not limited to (client specific, financials, medication administration, program specific, etc.).• Complete disciplinary action and termination actions of program staff in consultation with supervisor and Human Resources Department.• Provide thorough, complete, and timely on-site orientation to new employees.• Provide coaching and development of all employees.• Monitor staff development and conditions of employment (including agency wide trainings and various compliance items.• Monitor and audit employee time reports in accordance with payroll deadlines. Authorize overtime and mileage expense for employees within assigned budgets. Approve time cards while assuring accuracy of pay and benefit category.• Develop and implement core schedules for employees according to the needs of individual and requirements of the program. If unable to find adequate staff to fill a shift, program manager may need to perform direct support professional responsibilities.• Conducts annual and as needed performance :• Ensure timely completion of job duties.• Effectively contributes to problem solving and developing new processes and procedures, in response to changing customer service expectations and system wide goals.• Effectively communicates to staff and customers verbally and in writing.• Effectively contributes to the work and success of the team.• Report, acknowledge, and resolve complaints from outside contacts.TECHNOLOGY:• Effectively uses the following equipment:• Laptops, desktops, or other computer equipment• Printer, copier, fax, scanner, etc.• Mobile Devices• External storage devices• Effectively learns and uses integrated library software, Microsoft Office Suite, google apps for work, open source office software, and Active Directory• Effectively uses the internet• Effective learns and uses email.• Effectively learns and uses social media and apps as :• While performing the duties of this job, the employee is regularly required to use hands to: handle or feel objects, tools, or controls; reach with hands and arms; talk or hear; smell. The employee is occasionally required to sit, stand, walk, climb, balance, stoop, kneel, crouch, or crawl. The employee must occasionally life and/or move up to 50 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to focus. The employee must be able to perceive, initiate, or respond to fire alarms, warning sirens, and telephone system all call messages in a calm, rational manner, making sure that the other employs and patron are safe and out of the building.• While performing the duties of this job, the employee may be exposed to room temperature changes.• While performing the duties of this job, the employee may be exposed to noise levels that are low to moderateQualificationsKNOWLEDGE AND SKILLS:• Strong communication skills (both written and oral).• Ability to independently organize time and duties to conduct the daily, weekly and monthly responsibilities of residential services• Ability to synthesize data in client records to develop and implement appropriate and relevant habilitation plans and work adjustment training techniques.COMMUNICATION SKILLS:• Ability to communicate effectively and persuasively (verbally and in writing) with a wide range of stakeholders.TOOLS AND EQUIPMENT:• Basic computer skills.COGNITIVE REQUIREMENTS:• Ability to analyze data, program related issues and needs to facilitate planning and staff and program development.• Ability to work with a variety of individuals and agencies to effectively and efficiently coordinate services.• Work with minimal supervision.• Ability to handle multiple tasks and/or demands of one's time from others.• Ability to work as a team member to facilitate service delivery.• Patience and diplomacy when dealing with difficult clients, staff, and other agencies.• Ability to handle stress.• Ability to train staff in their various job duties.EDUCATIONAL AND EXPERIENCE REQUIREMENTS:• Direct supervisory experience within a residential setting for persons with disabilities required. • Bachelor's Degree in rehabilitation, social service or humanities, preferred.• Ability is required to intervene in crisis situations, to work cooperatively and effectively with staff and others in a team situation.• Ability to collect, analyze and present information regarding programming; to make decisions relating to services provided to consumers.• Ability to mediate concerns and problems with providers, clients, caregivers and staff in order to resolve programming problems.ADDITIONAL INFORMATION:• Required to change work and/or personal schedules to meet time requirements of position.• Responsible for the safety of all staff and clients under his/her supervision.• May be asked to serve on various agency committees PI4bb0ccce55c9-3648
Job Description: Job Description CNC PROGRAMMER III BENEFITSMedical & Vision InsuranceSupplemental Insurance Plans AvailableDental Insurance (Company paid)STD and Life & AD&D Insurance (Company paid)401(K) MatchingPTO & Unpaid Excused AbsencesUniforms (Company paid)Training & Apprenticeship OpportunitiesSafety Shoe & Glasses Reimbursement ProgramGym Membership Reimbursement Program JOB SUMMARY CNC Programmer III creates and optimizes 3-axis and 5-axis programs for machining operations, ensuring the efficient and accurate production of parts while adhering to engineering specifications and production schedules. This role involves analyzing blueprints, selecting tooling, creating Powermill programs, and providing technical support to CNC operators and machinists. ESSENTIAL DUTIES AND RESPONSIBILITIESPowermill CAM software experience necessaryDevelops CNC programs using CAD/CAM software for 3-axis and 5-axis CNC machines.Determines tool paths, speeds, feeds, and cutting parameters to optimize machining efficiency and quality.Selects appropriate cutting tools, tool holders, and fixtures for each job.Reviews engineering drawings, blueprints, and specifications to understand part requirements, tolerances, and with machine operators, CNC machinists, and engineers to troubleshoot machining problems and implement process improvements.Trains CNC Programmers on Powermill CAM and correct programming practices. The above list reflects the general details describing the position's principles and essential functions. It shall not be construed as the only duties that may be assigned for the position. An individual in this position must successfully perform the essential duties and responsibilities listed above. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. MINIMUM QUALIFICATIONS2+ years of CNC programming experience.5+ years of experience working with CNC machinery. Ability to read and interpret design blueprints.Strong attention to detail.Ability to work independently and stick to a deadline. PREFERRED QUALIFICATIONS5+ years of CNC programming experience.Apprenticeship or vocational training.High school degree or equivalent. Previous experience with computer modeling software. PHYSICAL AND MENTAL DEMANDS The physical and mental demands described here are representative of those that an employee must meet to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.Stand, walk, push, pull, reach overhead, and bend to the floor.Exert 1 to 25 pounds of force 5% of the time.Exert 26 to 50 pounds of force 5% of the time.Exert 50 plus pounds of force 5% of the time.Ability to read machine dial gages, blueprints, precision measuring instruments, and computer screens. Read English and understand sketches, routings, safety rules, operating and maintenance instructions, and procedure manuals. Communicate effectively with employees. WORKING ENVIRONMENT The work environment characteristics described here represent those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.Office-based position. Occasionally required to perform work on the shop floor.Moderate noise levels from operating machines.Physical hazards from moving equipment and machine parts.Machining fumes, dust, and mist.Skin exposed to oils and cutting fluids. Compensation details: 42-56 Hourly Wage PI2705a967745c-1563
07/14/2026
Full time
Job Description: Job Description CNC PROGRAMMER III BENEFITSMedical & Vision InsuranceSupplemental Insurance Plans AvailableDental Insurance (Company paid)STD and Life & AD&D Insurance (Company paid)401(K) MatchingPTO & Unpaid Excused AbsencesUniforms (Company paid)Training & Apprenticeship OpportunitiesSafety Shoe & Glasses Reimbursement ProgramGym Membership Reimbursement Program JOB SUMMARY CNC Programmer III creates and optimizes 3-axis and 5-axis programs for machining operations, ensuring the efficient and accurate production of parts while adhering to engineering specifications and production schedules. This role involves analyzing blueprints, selecting tooling, creating Powermill programs, and providing technical support to CNC operators and machinists. ESSENTIAL DUTIES AND RESPONSIBILITIESPowermill CAM software experience necessaryDevelops CNC programs using CAD/CAM software for 3-axis and 5-axis CNC machines.Determines tool paths, speeds, feeds, and cutting parameters to optimize machining efficiency and quality.Selects appropriate cutting tools, tool holders, and fixtures for each job.Reviews engineering drawings, blueprints, and specifications to understand part requirements, tolerances, and with machine operators, CNC machinists, and engineers to troubleshoot machining problems and implement process improvements.Trains CNC Programmers on Powermill CAM and correct programming practices. The above list reflects the general details describing the position's principles and essential functions. It shall not be construed as the only duties that may be assigned for the position. An individual in this position must successfully perform the essential duties and responsibilities listed above. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. MINIMUM QUALIFICATIONS2+ years of CNC programming experience.5+ years of experience working with CNC machinery. Ability to read and interpret design blueprints.Strong attention to detail.Ability to work independently and stick to a deadline. PREFERRED QUALIFICATIONS5+ years of CNC programming experience.Apprenticeship or vocational training.High school degree or equivalent. Previous experience with computer modeling software. PHYSICAL AND MENTAL DEMANDS The physical and mental demands described here are representative of those that an employee must meet to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.Stand, walk, push, pull, reach overhead, and bend to the floor.Exert 1 to 25 pounds of force 5% of the time.Exert 26 to 50 pounds of force 5% of the time.Exert 50 plus pounds of force 5% of the time.Ability to read machine dial gages, blueprints, precision measuring instruments, and computer screens. Read English and understand sketches, routings, safety rules, operating and maintenance instructions, and procedure manuals. Communicate effectively with employees. WORKING ENVIRONMENT The work environment characteristics described here represent those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.Office-based position. Occasionally required to perform work on the shop floor.Moderate noise levels from operating machines.Physical hazards from moving equipment and machine parts.Machining fumes, dust, and mist.Skin exposed to oils and cutting fluids. Compensation details: 42-56 Hourly Wage PI2705a967745c-1563
Job Description: Job Description CNC PROGRAMMER III BENEFITSMedical & Vision InsuranceSupplemental Insurance Plans AvailableDental Insurance (Company paid)STD and Life & AD&D Insurance (Company paid)401(K) MatchingPTO & Unpaid Excused AbsencesUniforms (Company paid)Training & Apprenticeship OpportunitiesSafety Shoe & Glasses Reimbursement ProgramGym Membership Reimbursement Program JOB SUMMARY CNC Programmer III creates and optimizes 3-axis and 5-axis programs for machining operations, ensuring the efficient and accurate production of parts while adhering to engineering specifications and production schedules. This role involves analyzing blueprints, selecting tooling, creating Powermill programs, and providing technical support to CNC operators and machinists. ESSENTIAL DUTIES AND RESPONSIBILITIESPowermill CAM software experience necessaryDevelops CNC programs using CAD/CAM software for 3-axis and 5-axis CNC machines.Determines tool paths, speeds, feeds, and cutting parameters to optimize machining efficiency and quality.Selects appropriate cutting tools, tool holders, and fixtures for each job.Reviews engineering drawings, blueprints, and specifications to understand part requirements, tolerances, and with machine operators, CNC machinists, and engineers to troubleshoot machining problems and implement process improvements.Trains CNC Programmers on Powermill CAM and correct programming practices. The above list reflects the general details describing the position's principles and essential functions. It shall not be construed as the only duties that may be assigned for the position. An individual in this position must successfully perform the essential duties and responsibilities listed above. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. MINIMUM QUALIFICATIONS2+ years of CNC programming experience.5+ years of experience working with CNC machinery. Ability to read and interpret design blueprints.Strong attention to detail.Ability to work independently and stick to a deadline. PREFERRED QUALIFICATIONS5+ years of CNC programming experience.Apprenticeship or vocational training.High school degree or equivalent. Previous experience with computer modeling software. PHYSICAL AND MENTAL DEMANDS The physical and mental demands described here are representative of those that an employee must meet to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.Stand, walk, push, pull, reach overhead, and bend to the floor.Exert 1 to 25 pounds of force 5% of the time.Exert 26 to 50 pounds of force 5% of the time.Exert 50 plus pounds of force 5% of the time.Ability to read machine dial gages, blueprints, precision measuring instruments, and computer screens. Read English and understand sketches, routings, safety rules, operating and maintenance instructions, and procedure manuals. Communicate effectively with employees. WORKING ENVIRONMENT The work environment characteristics described here represent those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.Office-based position. Occasionally required to perform work on the shop floor.Moderate noise levels from operating machines.Physical hazards from moving equipment and machine parts.Machining fumes, dust, and mist.Skin exposed to oils and cutting fluids. Compensation details: 42-56 Hourly Wage PI2705a967745c-1563
07/14/2026
Full time
Job Description: Job Description CNC PROGRAMMER III BENEFITSMedical & Vision InsuranceSupplemental Insurance Plans AvailableDental Insurance (Company paid)STD and Life & AD&D Insurance (Company paid)401(K) MatchingPTO & Unpaid Excused AbsencesUniforms (Company paid)Training & Apprenticeship OpportunitiesSafety Shoe & Glasses Reimbursement ProgramGym Membership Reimbursement Program JOB SUMMARY CNC Programmer III creates and optimizes 3-axis and 5-axis programs for machining operations, ensuring the efficient and accurate production of parts while adhering to engineering specifications and production schedules. This role involves analyzing blueprints, selecting tooling, creating Powermill programs, and providing technical support to CNC operators and machinists. ESSENTIAL DUTIES AND RESPONSIBILITIESPowermill CAM software experience necessaryDevelops CNC programs using CAD/CAM software for 3-axis and 5-axis CNC machines.Determines tool paths, speeds, feeds, and cutting parameters to optimize machining efficiency and quality.Selects appropriate cutting tools, tool holders, and fixtures for each job.Reviews engineering drawings, blueprints, and specifications to understand part requirements, tolerances, and with machine operators, CNC machinists, and engineers to troubleshoot machining problems and implement process improvements.Trains CNC Programmers on Powermill CAM and correct programming practices. The above list reflects the general details describing the position's principles and essential functions. It shall not be construed as the only duties that may be assigned for the position. An individual in this position must successfully perform the essential duties and responsibilities listed above. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. MINIMUM QUALIFICATIONS2+ years of CNC programming experience.5+ years of experience working with CNC machinery. Ability to read and interpret design blueprints.Strong attention to detail.Ability to work independently and stick to a deadline. PREFERRED QUALIFICATIONS5+ years of CNC programming experience.Apprenticeship or vocational training.High school degree or equivalent. Previous experience with computer modeling software. PHYSICAL AND MENTAL DEMANDS The physical and mental demands described here are representative of those that an employee must meet to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.Stand, walk, push, pull, reach overhead, and bend to the floor.Exert 1 to 25 pounds of force 5% of the time.Exert 26 to 50 pounds of force 5% of the time.Exert 50 plus pounds of force 5% of the time.Ability to read machine dial gages, blueprints, precision measuring instruments, and computer screens. Read English and understand sketches, routings, safety rules, operating and maintenance instructions, and procedure manuals. Communicate effectively with employees. WORKING ENVIRONMENT The work environment characteristics described here represent those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.Office-based position. Occasionally required to perform work on the shop floor.Moderate noise levels from operating machines.Physical hazards from moving equipment and machine parts.Machining fumes, dust, and mist.Skin exposed to oils and cutting fluids. Compensation details: 42-56 Hourly Wage PI2705a967745c-1563
This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. JOB SUMMARY Responsible for overall fulfillment operations of the system locations from the node to the home across the assigned area. Supervise installation and service to meet customer expectations, technical quality standards, employee productivity and company safety requirements. Maximize customer satisfaction through quality craftsmanship and operational excellence of the customer premise network. Responsible for the hiring, training, development, and performance evaluation of team. Shift is Sunday-Thursday 12pm-9pm. MAJOR JOB DUTIES AND RESPONSIBILITIES Actively and consistently support all efforts to simplify and enhance the customer experience. Ensure responsiveness and first time resolution to installation and trouble call work orders while adhering to company quality and safety standards Ensures quality control checks are completed satisfactorily; resolve escalated customer problems as necessary. Provides quality assurance support and direction to field staff regarding new or existing technologies. Performs field safety observations and quality control checks in accordance with company TQA requirements. Resolves and proactively prevents customer escalations Establishes positive employee relations through effective individual and team communication and provide ongoing support Regularly observes and mentors employees in regard to safety, quality, productivity and well-being Coordinate and reinforce employee training to ensure Technical Quality Assurance (TQA) standards are met. Performs practical field evaluations to verify technical competencies and safe practices; provides necessary feedback Ensures staff has and maintains necessary company-issued tools and equipment Facilitates cross-functional communications and cooperation with internal departments and service partners Instills knowledge of all company products and services Maintains records and documents in accordance with company policies and procedures Adheres to industry specific local, state, and federal regulations, as applicable Knows, understands and follows company policy Performs other duties as requested by manager REQUIRED QUALIFICATIONS Required Skills/Abilities and Knowledge Ability to read, write, speak and understand English Ability to communicate effectively with employees, customers, and suppliers in person, on the phone, and/or by written communications in a clear, straight-forward, and professional manner Advanced understanding of the TCP/IP stack and associated abstraction layers Advanced knowledge of network designs, network architectures, and network topologies Basic knowledge using software tools to support the current operations Knowledge in basic network devices and network appliances Ability to safely use weight-bearing equipment (such as gaffs, safety harness and ladders) within the maximum weight limitations of that equipment Ability to use personal computer and software applications including Microsoft Office Ability to operate appropriate computer or test equipment associated with position (e.g. signal level meters, ohm meters, etc.) Ability to use handheld communication devices and applications Work and travel in inclement weather Valid driver's license with satisfactory driving record within Company required standards Required Education Associates degree in electronics or related field, or equivalent work experience Industry and vendor specific certifications and training (NCTI, SCTE, BCT/E) Required Related Work Experience and Number of Years Field Technician work experience preferred - 5+ Supervisory experience in a technical environment preferred or equivalent work experience Experience in complex, structure cabling jobs that include interior/exterior installation of Cat5/Cat6 cabling Experience in programming and installing routers, Internet gateway services, Layer2/3 Ethernet switches and wireless access points in commercial environments PREFERRED QUALIFICATIONS Preferred Skills/Abilities and Knowledge Ability to successfully manage face-to-face customer interactions and resolutions Demonstrated leadership qualities Ability to handle multiple projects and tasks Ability to prioritize and organize effectively Ability to supervise and motivate others Moderate knowledge of residential and commercial facility construction design/layout Basic knowledge of company products and services Preferred Related Work Experience and Number of Years Supervisory or leadership experience - 1+ WORKING CONDITIONS Work indoors in confined space, poorly ventilated areas such as attics during extreme heat or cold Exposure to dust, dirt, noise, insects, rodents, pets, and cleaning solutions Work in commercial or factory type environments Work outdoors in all kinds of weather and at all times of the day or night Work performed near power lines and electricity Work and travel in inclement weather Some work may be performed in an office environment Work performed at various heights above ground on telephone/power poles Some out of town and overnight travel as the business needs dictate Occasionally required to work overtime as the business needs dictate Ability to work weekends or a second shift as the business needs dictate TCB401 8 2026 Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life. A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. Get to Know Us Charter Communications provides superior communication and entertainment products for residential and business customers through the Spectrum brand. Our offerings include Spectrum Internet , TV, Mobile and Voice. Beyond our connectivity solutions, we also provide local news, programming and regional sports via Spectrum Networks and multiscreen advertising solutions via Spectrum Reach. When you join our team, you'll be keeping our customers connected to what matters most in 41 states across the U.S. Watch this video to learn more. Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum.
07/13/2026
Full time
This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. JOB SUMMARY Responsible for overall fulfillment operations of the system locations from the node to the home across the assigned area. Supervise installation and service to meet customer expectations, technical quality standards, employee productivity and company safety requirements. Maximize customer satisfaction through quality craftsmanship and operational excellence of the customer premise network. Responsible for the hiring, training, development, and performance evaluation of team. Shift is Sunday-Thursday 12pm-9pm. MAJOR JOB DUTIES AND RESPONSIBILITIES Actively and consistently support all efforts to simplify and enhance the customer experience. Ensure responsiveness and first time resolution to installation and trouble call work orders while adhering to company quality and safety standards Ensures quality control checks are completed satisfactorily; resolve escalated customer problems as necessary. Provides quality assurance support and direction to field staff regarding new or existing technologies. Performs field safety observations and quality control checks in accordance with company TQA requirements. Resolves and proactively prevents customer escalations Establishes positive employee relations through effective individual and team communication and provide ongoing support Regularly observes and mentors employees in regard to safety, quality, productivity and well-being Coordinate and reinforce employee training to ensure Technical Quality Assurance (TQA) standards are met. Performs practical field evaluations to verify technical competencies and safe practices; provides necessary feedback Ensures staff has and maintains necessary company-issued tools and equipment Facilitates cross-functional communications and cooperation with internal departments and service partners Instills knowledge of all company products and services Maintains records and documents in accordance with company policies and procedures Adheres to industry specific local, state, and federal regulations, as applicable Knows, understands and follows company policy Performs other duties as requested by manager REQUIRED QUALIFICATIONS Required Skills/Abilities and Knowledge Ability to read, write, speak and understand English Ability to communicate effectively with employees, customers, and suppliers in person, on the phone, and/or by written communications in a clear, straight-forward, and professional manner Advanced understanding of the TCP/IP stack and associated abstraction layers Advanced knowledge of network designs, network architectures, and network topologies Basic knowledge using software tools to support the current operations Knowledge in basic network devices and network appliances Ability to safely use weight-bearing equipment (such as gaffs, safety harness and ladders) within the maximum weight limitations of that equipment Ability to use personal computer and software applications including Microsoft Office Ability to operate appropriate computer or test equipment associated with position (e.g. signal level meters, ohm meters, etc.) Ability to use handheld communication devices and applications Work and travel in inclement weather Valid driver's license with satisfactory driving record within Company required standards Required Education Associates degree in electronics or related field, or equivalent work experience Industry and vendor specific certifications and training (NCTI, SCTE, BCT/E) Required Related Work Experience and Number of Years Field Technician work experience preferred - 5+ Supervisory experience in a technical environment preferred or equivalent work experience Experience in complex, structure cabling jobs that include interior/exterior installation of Cat5/Cat6 cabling Experience in programming and installing routers, Internet gateway services, Layer2/3 Ethernet switches and wireless access points in commercial environments PREFERRED QUALIFICATIONS Preferred Skills/Abilities and Knowledge Ability to successfully manage face-to-face customer interactions and resolutions Demonstrated leadership qualities Ability to handle multiple projects and tasks Ability to prioritize and organize effectively Ability to supervise and motivate others Moderate knowledge of residential and commercial facility construction design/layout Basic knowledge of company products and services Preferred Related Work Experience and Number of Years Supervisory or leadership experience - 1+ WORKING CONDITIONS Work indoors in confined space, poorly ventilated areas such as attics during extreme heat or cold Exposure to dust, dirt, noise, insects, rodents, pets, and cleaning solutions Work in commercial or factory type environments Work outdoors in all kinds of weather and at all times of the day or night Work performed near power lines and electricity Work and travel in inclement weather Some work may be performed in an office environment Work performed at various heights above ground on telephone/power poles Some out of town and overnight travel as the business needs dictate Occasionally required to work overtime as the business needs dictate Ability to work weekends or a second shift as the business needs dictate TCB401 8 2026 Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life. A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. Get to Know Us Charter Communications provides superior communication and entertainment products for residential and business customers through the Spectrum brand. Our offerings include Spectrum Internet , TV, Mobile and Voice. Beyond our connectivity solutions, we also provide local news, programming and regional sports via Spectrum Networks and multiscreen advertising solutions via Spectrum Reach. When you join our team, you'll be keeping our customers connected to what matters most in 41 states across the U.S. Watch this video to learn more. Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum.
Company Description The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. Originating from the AI research in Silicon Valley, our Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH. We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry. Let's grow together, enjoy more, and inspire each other. Work Reinvent yourself: At Bosch, you will evolve. Discover new directions: At Bosch, you will find your place. Balance your life: At Bosch, your job matches your lifestyle. Celebrate success: At Bosch, we celebrate you. Be yourself: At Bosch, we value values. Shape tomorrow: At Bosch, you change lives. Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. Job Description Key Responsibilities: Conduct research on GenAI and Foundation models (FM) to address academic and industrial challenges in ADAS AI domain such as 3D reconstruction, world model, map and localization, data curation and auto-labeling, etc. Work with an international team of experts to transfer and apply the Bosch in-house GenAI / FM innovations and 3rd-party solutions to Bosch AI products and services, such as ADAS. Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars. Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions. Document and disseminate research findings through high-caliber publications and/or patent submissions. Qualifications Basic Qualifications Ph.D. in Computer Science or Engineering, or a related discipline or master's degree with 3+ years industry experience (GenAI and/or world model related) after graduation 2+ years of research experience or equivalent graduate research experience on foundation models, including training, fine-tuning, and prompting In-depth experiences in deep learning, with work in at least two of the following areas: diffusion models, 3D reconstruction, world models Proficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI / NLP / CV libraries Publication record in top venues including CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI, ACL, EMNLP, and CoRL Strong interpersonal, communication, and teamwork capabilities Preferred Qualifications Strong background in math and statistics 3+ years experiences in industrial research Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets Experience in leading R&D project & team dealing with international customers Leadership skills with excellent English communication & teamwork skills Additional Information We offer a competitive base salary for this position with a range in US-California of $165,000 - $185,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process. Learn more about our full benefits offerings by visiting: . Equal Opportunity Employer, including disability / veterans. Culture and Benefits Bosch in the USA
07/13/2026
Full time
Company Description The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. Originating from the AI research in Silicon Valley, our Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH. We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry. Let's grow together, enjoy more, and inspire each other. Work Reinvent yourself: At Bosch, you will evolve. Discover new directions: At Bosch, you will find your place. Balance your life: At Bosch, your job matches your lifestyle. Celebrate success: At Bosch, we celebrate you. Be yourself: At Bosch, we value values. Shape tomorrow: At Bosch, you change lives. Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. Job Description Key Responsibilities: Conduct research on GenAI and Foundation models (FM) to address academic and industrial challenges in ADAS AI domain such as 3D reconstruction, world model, map and localization, data curation and auto-labeling, etc. Work with an international team of experts to transfer and apply the Bosch in-house GenAI / FM innovations and 3rd-party solutions to Bosch AI products and services, such as ADAS. Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars. Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions. Document and disseminate research findings through high-caliber publications and/or patent submissions. Qualifications Basic Qualifications Ph.D. in Computer Science or Engineering, or a related discipline or master's degree with 3+ years industry experience (GenAI and/or world model related) after graduation 2+ years of research experience or equivalent graduate research experience on foundation models, including training, fine-tuning, and prompting In-depth experiences in deep learning, with work in at least two of the following areas: diffusion models, 3D reconstruction, world models Proficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI / NLP / CV libraries Publication record in top venues including CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI, ACL, EMNLP, and CoRL Strong interpersonal, communication, and teamwork capabilities Preferred Qualifications Strong background in math and statistics 3+ years experiences in industrial research Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets Experience in leading R&D project & team dealing with international customers Leadership skills with excellent English communication & teamwork skills Additional Information We offer a competitive base salary for this position with a range in US-California of $165,000 - $185,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process. Learn more about our full benefits offerings by visiting: . Equal Opportunity Employer, including disability / veterans. Culture and Benefits Bosch in the USA
Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. What you'll do in the role: 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. 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 At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical 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. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer 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).
07/13/2026
Full time
Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. What you'll do in the role: 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. 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 At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical 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. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer 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).
Lead Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: 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. 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 At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer 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).
07/13/2026
Full time
Lead Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: 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. 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 At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer 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).
Lead Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: 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. 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 At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer 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).
07/13/2026
Full time
Lead Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: 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. 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 At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer 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 Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: 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. 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 At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical 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. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer Plano, TX: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer 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).
07/13/2026
Full time
Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: 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. 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 At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical 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. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer Plano, TX: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer 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).
Distinguished AI Engineer (Agentic AI Platform) 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. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production 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: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer 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
07/13/2026
Full time
Distinguished AI Engineer (Agentic AI Platform) 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. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production 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: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer 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
