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Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity We are seeking a Lead ELK Stack Engineer. This role offers a truly exciting opportunity to make a significant impact on USAAs cybersecurity posture. The right candidate will be at the forefront of maturing USAAs security logging platform, transforming it into a resilient and robust foundation that directly enables the Cyber Threat Operations Center to effectively protect USAAs members, data, and resources. By building and implementing advanced automation solutions, you'll streamline processes and enhance USAAs defensive capabilities. Furthermore, this position provides a unique chance to help lead and mentor a team of talented engineers, contributing to their growth and the overall success of USAAs cybersecurity engineering efforts. This is a chance to shape the future of security infrastructure and build a more secure environment for everyone at USAA. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Responsible for ensuring that security requirements are adequately addressed in all aspects of a solution/application enablement and sustainment lifecycle. Design, develop, code, integrate, and test complex cross functional technical solutions with a focus on security, often collaborating with Engineers or Architects outside of team/department. Leads the team in code/design reviews and engineering efficiencies to ensure effective operations and accurate planning. Independently resolves complex production issues and leads troubleshooting of end-to-end solutions that span multiple applications and systems. Works with architecture to help define direction for cross functional or highly complex key technologies within a specific security domain. Drives community impact through active participation in internal and external training outlets, conferences, blog post, and participating in professional societies, advisory boards, and consortiums. Leverages Site Reliability Engineering practices in their domain. Ensures risks associated within their domain activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. Influences and leads cross-functional efforts across the Enterprise as a subject matter expert in their domain. Monitors and troubleshoots highly complex systems, tools, and vendor integrations. Performs continuous research, analysis, and troubleshooting to identify, resolve, and report on highly complex security issues. Collaborates with Security Analysts, IT and Business Partners to tune, harden, and enhance Security solutions and technologies to keep up with the latest trends and threats. Provides mentorship and guidance to junior engineers, fosters a culture of continuous learning and professional growth, and ensures the team stays current with the latest security trends and technologies. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: 8 years of related experience in Security Engineering and/or Information Technology with a security focus to include experience leading driving enterprise technology projects or initiatives. 6 years of experience delivering technology solutions in all phases of a solution development lifecycle. Demonstrated experience leading and owning security strategies, solutions, and/or initiatives, with proven ability to drive these efforts to successful completion. Advanced experience with modern programming/scripting languages and frameworks. Experience designing, implementing, and leading security engineering activities utilizing modern DevSecOps practices. Demonstrated hands-on success with agile delivery methods and deep desire to be flexible while delivering value early and often. Demonstrated ability to address complex production issues by troubleshooting applications and systems. Experience working with platform engineering concepts on security best practices in infrastructure/policy as code, security architecture design patterns, security vendor integrations, and CI/CD pipelines with built in application security controls. Experience leading the implementation of event driven security architecture, methods, and controls. Experience with advising on security architecture, methods, and controls required to meet security, compliance, and audit requirements. Familiarity with cloud and emergent technologies such as: Public Cloud, Containerization, Security Data Lakes, ML/LLMs, GenAI, etc. What sets you apart: Extensive experience managing and optimizing the ELK stack: Demonstrated expertise in Elasticsearch architecture, cluster management, infrastructure optimization, schema design, shard strategy, indexing, query writing, ingest pipelines, and data streams. Proven ability to troubleshoot and resolve complex ELK stack issues: Track record of identifying root causes, implementing effective solutions, and improving platform stability and health. Demonstrated experience in identifying and implementing observability and control mechanisms: Proven ability to assess system needs, design, and implement solutions for detecting, preventing, and alerting on platform issues to ensure stability and health. Experience with infrastructure automation and scripting: Proficiency in using Ansible for automation, with knowledge of Python and/or Node.js. Certified Elasticsearch Engineer: Possession of a relevant certification (e.g., Elastic Certified Engineer). Compensation range: The salary range for this position is: $143,320.00 - $273,930.00. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA 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, or status as a protected veteran. Powered by SonicJobs (an advertiser on JobG8). By applying, you consent to share your data with SonicJobs and the employer. JobG8 or SonicJobs does not store or use your application data beyond facilitating the application. See USAA Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity We are seeking a Lead ELK Stack Engineer. This role offers a truly exciting opportunity to make a significant impact on USAAs cybersecurity posture. The right candidate will be at the forefront of maturing USAAs security logging platform, transforming it into a resilient and robust foundation that directly enables the Cyber Threat Operations Center to effectively protect USAAs members, data, and resources. By building and implementing advanced automation solutions, you'll streamline processes and enhance USAAs defensive capabilities. Furthermore, this position provides a unique chance to help lead and mentor a team of talented engineers, contributing to their growth and the overall success of USAAs cybersecurity engineering efforts. This is a chance to shape the future of security infrastructure and build a more secure environment for everyone at USAA. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Responsible for ensuring that security requirements are adequately addressed in all aspects of a solution/application enablement and sustainment lifecycle. Design, develop, code, integrate, and test complex cross functional technical solutions with a focus on security, often collaborating with Engineers or Architects outside of team/department. Leads the team in code/design reviews and engineering efficiencies to ensure effective operations and accurate planning. Independently resolves complex production issues and leads troubleshooting of end-to-end solutions that span multiple applications and systems. Works with architecture to help define direction for cross functional or highly complex key technologies within a specific security domain. Drives community impact through active participation in internal and external training outlets, conferences, blog post, and participating in professional societies, advisory boards, and consortiums. Leverages Site Reliability Engineering practices in their domain. Ensures risks associated within their domain activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. Influences and leads cross-functional efforts across the Enterprise as a subject matter expert in their domain. Monitors and troubleshoots highly complex systems, tools, and vendor integrations. Performs continuous research, analysis, and troubleshooting to identify, resolve, and report on highly complex security issues. Collaborates with Security Analysts, IT and Business Partners to tune, harden, and enhance Security solutions and technologies to keep up with the latest trends and threats. Provides mentorship and guidance to junior engineers, fosters a culture of continuous learning and professional growth, and ensures the team stays current with the latest security trends and technologies. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: 8 years of related experience in Security Engineering and/or Information Technology with a security focus to include experience leading driving enterprise technology projects or initiatives. 6 years of experience delivering technology solutions in all phases of a solution development lifecycle. Demonstrated experience leading and owning security strategies, solutions, and/or initiatives, with proven ability to drive these efforts to successful completion. Advanced experience with modern programming/scripting languages and frameworks. Experience designing, implementing, and leading security engineering activities utilizing modern DevSecOps practices. Demonstrated hands-on success with agile delivery methods and deep desire to be flexible while delivering value early and often. Demonstrated ability to address complex production issues by troubleshooting applications and systems. Experience working with platform engineering concepts on security best practices in infrastructure/policy as code, security architecture design patterns, security vendor integrations, and CI/CD pipelines with built in application security controls. Experience leading the implementation of event driven security architecture, methods, and controls. Experience with advising on security architecture, methods, and controls required to meet security, compliance, and audit requirements. Familiarity with cloud and emergent technologies such as: Public Cloud, Containerization, Security Data Lakes, ML/LLMs, GenAI, etc. What sets you apart: Extensive experience managing and optimizing the ELK stack: Demonstrated expertise in Elasticsearch architecture, cluster management, infrastructure optimization, schema design, shard strategy, indexing, query writing, ingest pipelines, and data streams. Proven ability to troubleshoot and resolve complex ELK stack issues: Track record of identifying root causes, implementing effective solutions, and improving platform stability and health. Demonstrated experience in identifying and implementing observability and control mechanisms: Proven ability to assess system needs, design, and implement solutions for detecting, preventing, and alerting on platform issues to ensure stability and health. Experience with infrastructure automation and scripting: Proficiency in using Ansible for automation, with knowledge of Python and/or Node.js. Certified Elasticsearch Engineer: Possession of a relevant certification (e.g., Elastic Certified Engineer). Compensation range: The salary range for this position is: $143,320.00 - $273,930.00. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA 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, or status as a protected veteran. Powered by SonicJobs (an advertiser on JobG8). By applying, you consent to share your data with SonicJobs and the employer. JobG8 or SonicJobs does not store or use your application data beyond facilitating the application. See USAA Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity We are seeking a Sr. ELK Stack Engineer. This role offers a truly exciting opportunity to make a significant impact on USAAs cybersecurity posture. The right candidate will be at the forefront of maturing USAAs security logging platform, transforming it into a resilient and robust foundation that directly enables the Cyber Threat Operations Center to effectively protect USAAs members, data, and resources. By building and implementing advanced automation solutions, you'll streamline processes and enhance USAAs defensive capabilities. Furthermore, this position provides a unique chance to help lead and mentor a team of talented engineers, contributing to their growth and the overall success of USAAs cybersecurity engineering efforts. This is a chance to shape the future of security infrastructure and build a more secure environment for everyone at USAA. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Responsible for ensuring that security requirements are adequately addressed in all aspects of a solution/application enablement and sustainment lifecycle. Design, develop, code, integrate, and test complex cross functional technical solutions with a focus on security, often collaborating with Engineers or Architects outside of team/department. Leads the team in code/design reviews and engineering efficiencies to ensure effective operations and accurate planning. Supports the resolution of complex production issues and troubleshooting of end-to-end solutions that span multiple applications and systems. Works with architecture to help define directions for cross functional or highly complex key technologies within a specific security domain. Drives community impact through active participation in internal and external training outlets, conferences, blog post, and participating in professional societies, advisory boards, and consortiums. Leverages Site Reliability Engineering practices in their domain. Ensures risks associated within their domain activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. Supports cross-functional efforts across the Enterprise as a subject matter expert in their domain. Monitors and troubleshoots highly complex systems, tools, and vendor integrations. Supports continuous research, analysis, and troubleshooting to identify, resolve, and report on highly complex security issues. Collaborates with Security Analysts, IT and Business Partners to tune, harden, and enhance Security solutions and technologies to keep up with the latest trends and threats. Provides mentorship and guidance to junior engineers, fosters a culture of continuous learning and professional growth, and ensures the team stays current with the latest security trends and technologies. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree; OR 4 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of related experience in Security Engineering and/or Information Technology with a security focus to include experience leading driving enterprise technology projects or initiatives. 4 years of experience delivering technology solutions in all phases of a solution development lifecycle. Demonstrated experience guiding security strategies, solutions, and/or initiatives, with proven ability to drive these efforts to successful completion. Working experience with modern programming/scripting languages and frameworks. Experience designing, implementing, and leading security engineering activities utilizing modern DevSecOps practices. Demonstrated hands-on success with agile delivery methods and deep desire to be flexible while delivering value early and often. Demonstrated ability to address complex production issues by troubleshooting applications and systems. Experience working with platform engineering concepts on security best practices in infrastructure/policy as code, security architecture design patterns, security vendor integrations, and CI/CD pipelines with built in application security controls. Experience implementing event driven security architecture, methods, and controls. Experience with advising on security architecture, methods, and controls required to meet security, compliance, and audit requirements. Familiarity with cloud and emergent technologies such as: Public Cloud, Containerization, Security Data Lakes, ML/LLMs, GenAI, etc. What sets you apart: Extensive experience managing and optimizing the ELK stack: Demonstrated expertise in Elasticsearch architecture, cluster management, infrastructure optimization, schema design, shard strategy, indexing, query writing, ingest pipelines, and data streams. Proven ability to troubleshoot and resolve complex ELK stack issues: Track record of identifying root causes, implementing effective solutions, and improving platform stability and health. Demonstrated experience in identifying and implementing observability and control mechanisms: Proven ability to assess system needs, design, and implement solutions for detecting, preventing, and alerting on platform issues to ensure stability and health. Experience with infrastructure automation and scripting: Proficiency in using Ansible for automation, with knowledge of Python and/or Node.js. Certified Elasticsearch Engineer: Possession of a relevant certification (e.g., Elastic Certified Engineer). Compensation range: The salary range for this position is: $ 127,310.00 - $ 243,340.00 . USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA 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, or status as a protected veteran. Powered by SonicJobs (an advertiser on JobG8). By applying, you consent to share your data with SonicJobs and the employer. JobG8 or SonicJobs does not store or use your application data beyond facilitating the application. See USAA Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity We are seeking a Lead ELK Stack Engineer. This role offers a truly exciting opportunity to make a significant impact on USAAs cybersecurity posture. The right candidate will be at the forefront of maturing USAAs security logging platform, transforming it into a resilient and robust foundation that directly enables the Cyber Threat Operations Center to effectively protect USAAs members, data, and resources. By building and implementing advanced automation solutions, you'll streamline processes and enhance USAAs defensive capabilities. Furthermore, this position provides a unique chance to help lead and mentor a team of talented engineers, contributing to their growth and the overall success of USAAs cybersecurity engineering efforts. This is a chance to shape the future of security infrastructure and build a more secure environment for everyone at USAA. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Responsible for ensuring that security requirements are adequately addressed in all aspects of a solution/application enablement and sustainment lifecycle. Design, develop, code, integrate, and test complex cross functional technical solutions with a focus on security, often collaborating with Engineers or Architects outside of team/department. Leads the team in code/design reviews and engineering efficiencies to ensure effective operations and accurate planning. Independently resolves complex production issues and leads troubleshooting of end-to-end solutions that span multiple applications and systems. Works with architecture to help define direction for cross functional or highly complex key technologies within a specific security domain. Drives community impact through active participation in internal and external training outlets, conferences, blog post, and participating in professional societies, advisory boards, and consortiums. Leverages Site Reliability Engineering practices in their domain. Ensures risks associated within their domain activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. Influences and leads cross-functional efforts across the Enterprise as a subject matter expert in their domain. Monitors and troubleshoots highly complex systems, tools, and vendor integrations. Performs continuous research, analysis, and troubleshooting to identify, resolve, and report on highly complex security issues. Collaborates with Security Analysts, IT and Business Partners to tune, harden, and enhance Security solutions and technologies to keep up with the latest trends and threats. Provides mentorship and guidance to junior engineers, fosters a culture of continuous learning and professional growth, and ensures the team stays current with the latest security trends and technologies. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: 8 years of related experience in Security Engineering and/or Information Technology with a security focus to include experience leading driving enterprise technology projects or initiatives. 6 years of experience delivering technology solutions in all phases of a solution development lifecycle. Demonstrated experience leading and owning security strategies, solutions, and/or initiatives, with proven ability to drive these efforts to successful completion. Advanced experience with modern programming/scripting languages and frameworks. Experience designing, implementing, and leading security engineering activities utilizing modern DevSecOps practices. Demonstrated hands-on success with agile delivery methods and deep desire to be flexible while delivering value early and often. Demonstrated ability to address complex production issues by troubleshooting applications and systems. Experience working with platform engineering concepts on security best practices in infrastructure/policy as code, security architecture design patterns, security vendor integrations, and CI/CD pipelines with built in application security controls. Experience leading the implementation of event driven security architecture, methods, and controls. Experience with advising on security architecture, methods, and controls required to meet security, compliance, and audit requirements. Familiarity with cloud and emergent technologies such as: Public Cloud, Containerization, Security Data Lakes, ML/LLMs, GenAI, etc. What sets you apart: Extensive experience managing and optimizing the ELK stack: Demonstrated expertise in Elasticsearch architecture, cluster management, infrastructure optimization, schema design, shard strategy, indexing, query writing, ingest pipelines, and data streams. Proven ability to troubleshoot and resolve complex ELK stack issues: Track record of identifying root causes, implementing effective solutions, and improving platform stability and health. Demonstrated experience in identifying and implementing observability and control mechanisms: Proven ability to assess system needs, design, and implement solutions for detecting, preventing, and alerting on platform issues to ensure stability and health. Experience with infrastructure automation and scripting: Proficiency in using Ansible for automation, with knowledge of Python and/or Node.js. Certified Elasticsearch Engineer: Possession of a relevant certification (e.g., Elastic Certified Engineer). Compensation range: The salary range for this position is: $143,320.00 - $273,930.00. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA 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, or status as a protected veteran. Powered by SonicJobs (an advertiser on JobG8). By applying, you consent to share your data with SonicJobs and the employer. JobG8 or SonicJobs does not store or use your application data beyond facilitating the application. See USAA Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity We are seeking a Sr. ELK Stack Engineer. This role offers a truly exciting opportunity to make a significant impact on USAAs cybersecurity posture. The right candidate will be at the forefront of maturing USAAs security logging platform, transforming it into a resilient and robust foundation that directly enables the Cyber Threat Operations Center to effectively protect USAAs members, data, and resources. By building and implementing advanced automation solutions, you'll streamline processes and enhance USAAs defensive capabilities. Furthermore, this position provides a unique chance to help lead and mentor a team of talented engineers, contributing to their growth and the overall success of USAAs cybersecurity engineering efforts. This is a chance to shape the future of security infrastructure and build a more secure environment for everyone at USAA. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Responsible for ensuring that security requirements are adequately addressed in all aspects of a solution/application enablement and sustainment lifecycle. Design, develop, code, integrate, and test complex cross functional technical solutions with a focus on security, often collaborating with Engineers or Architects outside of team/department. Leads the team in code/design reviews and engineering efficiencies to ensure effective operations and accurate planning. Supports the resolution of complex production issues and troubleshooting of end-to-end solutions that span multiple applications and systems. Works with architecture to help define directions for cross functional or highly complex key technologies within a specific security domain. Drives community impact through active participation in internal and external training outlets, conferences, blog post, and participating in professional societies, advisory boards, and consortiums. Leverages Site Reliability Engineering practices in their domain. Ensures risks associated within their domain activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. Supports cross-functional efforts across the Enterprise as a subject matter expert in their domain. Monitors and troubleshoots highly complex systems, tools, and vendor integrations. Supports continuous research, analysis, and troubleshooting to identify, resolve, and report on highly complex security issues. Collaborates with Security Analysts, IT and Business Partners to tune, harden, and enhance Security solutions and technologies to keep up with the latest trends and threats. Provides mentorship and guidance to junior engineers, fosters a culture of continuous learning and professional growth, and ensures the team stays current with the latest security trends and technologies. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree; OR 4 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of related experience in Security Engineering and/or Information Technology with a security focus to include experience leading driving enterprise technology projects or initiatives. 4 years of experience delivering technology solutions in all phases of a solution development lifecycle. Demonstrated experience guiding security strategies, solutions, and/or initiatives, with proven ability to drive these efforts to successful completion. Working experience with modern programming/scripting languages and frameworks. Experience designing, implementing, and leading security engineering activities utilizing modern DevSecOps practices. Demonstrated hands-on success with agile delivery methods and deep desire to be flexible while delivering value early and often. Demonstrated ability to address complex production issues by troubleshooting applications and systems. Experience working with platform engineering concepts on security best practices in infrastructure/policy as code, security architecture design patterns, security vendor integrations, and CI/CD pipelines with built in application security controls. Experience implementing event driven security architecture, methods, and controls. Experience with advising on security architecture, methods, and controls required to meet security, compliance, and audit requirements. Familiarity with cloud and emergent technologies such as: Public Cloud, Containerization, Security Data Lakes, ML/LLMs, GenAI, etc. What sets you apart: Extensive experience managing and optimizing the ELK stack: Demonstrated expertise in Elasticsearch architecture, cluster management, infrastructure optimization, schema design, shard strategy, indexing, query writing, ingest pipelines, and data streams. Proven ability to troubleshoot and resolve complex ELK stack issues: Track record of identifying root causes, implementing effective solutions, and improving platform stability and health. Demonstrated experience in identifying and implementing observability and control mechanisms: Proven ability to assess system needs, design, and implement solutions for detecting, preventing, and alerting on platform issues to ensure stability and health. Experience with infrastructure automation and scripting: Proficiency in using Ansible for automation, with knowledge of Python and/or Node.js. Certified Elasticsearch Engineer: Possession of a relevant certification (e.g., Elastic Certified Engineer). Compensation range: The salary range for this position is: $ 127,310.00 - $ 243,340.00 . USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA 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, or status as a protected veteran. Powered by SonicJobs (an advertiser on JobG8). By applying, you consent to share your data with SonicJobs and the employer. JobG8 or SonicJobs does not store or use your application data beyond facilitating the application. See USAA Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity We are seeking a Sr. ELK Stack Engineer. This role offers a truly exciting opportunity to make a significant impact on USAAs cybersecurity posture. The right candidate will be at the forefront of maturing USAAs security logging platform, transforming it into a resilient and robust foundation that directly enables the Cyber Threat Operations Center to effectively protect USAAs members, data, and resources. By building and implementing advanced automation solutions, you'll streamline processes and enhance USAAs defensive capabilities. Furthermore, this position provides a unique chance to help lead and mentor a team of talented engineers, contributing to their growth and the overall success of USAAs cybersecurity engineering efforts. This is a chance to shape the future of security infrastructure and build a more secure environment for everyone at USAA. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Responsible for ensuring that security requirements are adequately addressed in all aspects of a solution/application enablement and sustainment lifecycle. Design, develop, code, integrate, and test complex cross functional technical solutions with a focus on security, often collaborating with Engineers or Architects outside of team/department. Leads the team in code/design reviews and engineering efficiencies to ensure effective operations and accurate planning. Supports the resolution of complex production issues and troubleshooting of end-to-end solutions that span multiple applications and systems. Works with architecture to help define directions for cross functional or highly complex key technologies within a specific security domain. Drives community impact through active participation in internal and external training outlets, conferences, blog post, and participating in professional societies, advisory boards, and consortiums. Leverages Site Reliability Engineering practices in their domain. Ensures risks associated within their domain activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. Supports cross-functional efforts across the Enterprise as a subject matter expert in their domain. Monitors and troubleshoots highly complex systems, tools, and vendor integrations. Supports continuous research, analysis, and troubleshooting to identify, resolve, and report on highly complex security issues. Collaborates with Security Analysts, IT and Business Partners to tune, harden, and enhance Security solutions and technologies to keep up with the latest trends and threats. Provides mentorship and guidance to junior engineers, fosters a culture of continuous learning and professional growth, and ensures the team stays current with the latest security trends and technologies. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree; OR 4 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of related experience in Security Engineering and/or Information Technology with a security focus to include experience leading driving enterprise technology projects or initiatives. 4 years of experience delivering technology solutions in all phases of a solution development lifecycle. Demonstrated experience guiding security strategies, solutions, and/or initiatives, with proven ability to drive these efforts to successful completion. Working experience with modern programming/scripting languages and frameworks. Experience designing, implementing, and leading security engineering activities utilizing modern DevSecOps practices. Demonstrated hands-on success with agile delivery methods and deep desire to be flexible while delivering value early and often. Demonstrated ability to address complex production issues by troubleshooting applications and systems. Experience working with platform engineering concepts on security best practices in infrastructure/policy as code, security architecture design patterns, security vendor integrations, and CI/CD pipelines with built in application security controls. Experience implementing event driven security architecture, methods, and controls. Experience with advising on security architecture, methods, and controls required to meet security, compliance, and audit requirements. Familiarity with cloud and emergent technologies such as: Public Cloud, Containerization, Security Data Lakes, ML/LLMs, GenAI, etc. What sets you apart: Extensive experience managing and optimizing the ELK stack: Demonstrated expertise in Elasticsearch architecture, cluster management, infrastructure optimization, schema design, shard strategy, indexing, query writing, ingest pipelines, and data streams. Proven ability to troubleshoot and resolve complex ELK stack issues: Track record of identifying root causes, implementing effective solutions, and improving platform stability and health. Demonstrated experience in identifying and implementing observability and control mechanisms: Proven ability to assess system needs, design, and implement solutions for detecting, preventing, and alerting on platform issues to ensure stability and health. Experience with infrastructure automation and scripting: Proficiency in using Ansible for automation, with knowledge of Python and/or Node.js. Certified Elasticsearch Engineer: Possession of a relevant certification (e.g., Elastic Certified Engineer). Compensation range: The salary range for this position is: $ 127,310.00 - $ 243,340.00 . USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA 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, or status as a protected veteran. Powered by SonicJobs (an advertiser on JobG8). By applying, you consent to share your data with SonicJobs and the employer. JobG8 or SonicJobs does not store or use your application data beyond facilitating the application. See USAA Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity We are seeking a Lead ELK Stack Engineer. This role offers a truly exciting opportunity to make a significant impact on USAAs cybersecurity posture. The right candidate will be at the forefront of maturing USAAs security logging platform, transforming it into a resilient and robust foundation that directly enables the Cyber Threat Operations Center to effectively protect USAAs members, data, and resources. By building and implementing advanced automation solutions, you'll streamline processes and enhance USAAs defensive capabilities. Furthermore, this position provides a unique chance to help lead and mentor a team of talented engineers, contributing to their growth and the overall success of USAAs cybersecurity engineering efforts. This is a chance to shape the future of security infrastructure and build a more secure environment for everyone at USAA. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Responsible for ensuring that security requirements are adequately addressed in all aspects of a solution/application enablement and sustainment lifecycle. Design, develop, code, integrate, and test complex cross functional technical solutions with a focus on security, often collaborating with Engineers or Architects outside of team/department. Leads the team in code/design reviews and engineering efficiencies to ensure effective operations and accurate planning. Independently resolves complex production issues and leads troubleshooting of end-to-end solutions that span multiple applications and systems. Works with architecture to help define direction for cross functional or highly complex key technologies within a specific security domain. Drives community impact through active participation in internal and external training outlets, conferences, blog post, and participating in professional societies, advisory boards, and consortiums. Leverages Site Reliability Engineering practices in their domain. Ensures risks associated within their domain activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. Influences and leads cross-functional efforts across the Enterprise as a subject matter expert in their domain. Monitors and troubleshoots highly complex systems, tools, and vendor integrations. Performs continuous research, analysis, and troubleshooting to identify, resolve, and report on highly complex security issues. Collaborates with Security Analysts, IT and Business Partners to tune, harden, and enhance Security solutions and technologies to keep up with the latest trends and threats. Provides mentorship and guidance to junior engineers, fosters a culture of continuous learning and professional growth, and ensures the team stays current with the latest security trends and technologies. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: 8 years of related experience in Security Engineering and/or Information Technology with a security focus to include experience leading driving enterprise technology projects or initiatives. 6 years of experience delivering technology solutions in all phases of a solution development lifecycle. Demonstrated experience leading and owning security strategies, solutions, and/or initiatives, with proven ability to drive these efforts to successful completion. Advanced experience with modern programming/scripting languages and frameworks. Experience designing, implementing, and leading security engineering activities utilizing modern DevSecOps practices. Demonstrated hands-on success with agile delivery methods and deep desire to be flexible while delivering value early and often. Demonstrated ability to address complex production issues by troubleshooting applications and systems. Experience working with platform engineering concepts on security best practices in infrastructure/policy as code, security architecture design patterns, security vendor integrations, and CI/CD pipelines with built in application security controls. Experience leading the implementation of event driven security architecture, methods, and controls. Experience with advising on security architecture, methods, and controls required to meet security, compliance, and audit requirements. Familiarity with cloud and emergent technologies such as: Public Cloud, Containerization, Security Data Lakes, ML/LLMs, GenAI, etc. What sets you apart: Extensive experience managing and optimizing the ELK stack: Demonstrated expertise in Elasticsearch architecture, cluster management, infrastructure optimization, schema design, shard strategy, indexing, query writing, ingest pipelines, and data streams. Proven ability to troubleshoot and resolve complex ELK stack issues: Track record of identifying root causes, implementing effective solutions, and improving platform stability and health. Demonstrated experience in identifying and implementing observability and control mechanisms: Proven ability to assess system needs, design, and implement solutions for detecting, preventing, and alerting on platform issues to ensure stability and health. Experience with infrastructure automation and scripting: Proficiency in using Ansible for automation, with knowledge of Python and/or Node.js. Certified Elasticsearch Engineer: Possession of a relevant certification (e.g., Elastic Certified Engineer). Compensation range: The salary range for this position is: $143,320.00 - $273,930.00. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA 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, or status as a protected veteran. Powered by SonicJobs (an advertiser on JobG8). By applying, you consent to share your data with SonicJobs and the employer. JobG8 or SonicJobs does not store or use your application data beyond facilitating the application. See USAA Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity We are seeking a Sr. ELK Stack Engineer. This role offers a truly exciting opportunity to make a significant impact on USAAs cybersecurity posture. The right candidate will be at the forefront of maturing USAAs security logging platform, transforming it into a resilient and robust foundation that directly enables the Cyber Threat Operations Center to effectively protect USAAs members, data, and resources. By building and implementing advanced automation solutions, you'll streamline processes and enhance USAAs defensive capabilities. Furthermore, this position provides a unique chance to help lead and mentor a team of talented engineers, contributing to their growth and the overall success of USAAs cybersecurity engineering efforts. This is a chance to shape the future of security infrastructure and build a more secure environment for everyone at USAA. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Responsible for ensuring that security requirements are adequately addressed in all aspects of a solution/application enablement and sustainment lifecycle. Design, develop, code, integrate, and test complex cross functional technical solutions with a focus on security, often collaborating with Engineers or Architects outside of team/department. Leads the team in code/design reviews and engineering efficiencies to ensure effective operations and accurate planning. Supports the resolution of complex production issues and troubleshooting of end-to-end solutions that span multiple applications and systems. Works with architecture to help define directions for cross functional or highly complex key technologies within a specific security domain. Drives community impact through active participation in internal and external training outlets, conferences, blog post, and participating in professional societies, advisory boards, and consortiums. Leverages Site Reliability Engineering practices in their domain. Ensures risks associated within their domain activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. Supports cross-functional efforts across the Enterprise as a subject matter expert in their domain. Monitors and troubleshoots highly complex systems, tools, and vendor integrations. Supports continuous research, analysis, and troubleshooting to identify, resolve, and report on highly complex security issues. Collaborates with Security Analysts, IT and Business Partners to tune, harden, and enhance Security solutions and technologies to keep up with the latest trends and threats. Provides mentorship and guidance to junior engineers, fosters a culture of continuous learning and professional growth, and ensures the team stays current with the latest security trends and technologies. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree; OR 4 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of related experience in Security Engineering and/or Information Technology with a security focus to include experience leading driving enterprise technology projects or initiatives. 4 years of experience delivering technology solutions in all phases of a solution development lifecycle. Demonstrated experience guiding security strategies, solutions, and/or initiatives, with proven ability to drive these efforts to successful completion. Working experience with modern programming/scripting languages and frameworks. Experience designing, implementing, and leading security engineering activities utilizing modern DevSecOps practices. Demonstrated hands-on success with agile delivery methods and deep desire to be flexible while delivering value early and often. Demonstrated ability to address complex production issues by troubleshooting applications and systems. Experience working with platform engineering concepts on security best practices in infrastructure/policy as code, security architecture design patterns, security vendor integrations, and CI/CD pipelines with built in application security controls. Experience implementing event driven security architecture, methods, and controls. Experience with advising on security architecture, methods, and controls required to meet security, compliance, and audit requirements. Familiarity with cloud and emergent technologies such as: Public Cloud, Containerization, Security Data Lakes, ML/LLMs, GenAI, etc. What sets you apart: Extensive experience managing and optimizing the ELK stack: Demonstrated expertise in Elasticsearch architecture, cluster management, infrastructure optimization, schema design, shard strategy, indexing, query writing, ingest pipelines, and data streams. Proven ability to troubleshoot and resolve complex ELK stack issues: Track record of identifying root causes, implementing effective solutions, and improving platform stability and health. Demonstrated experience in identifying and implementing observability and control mechanisms: Proven ability to assess system needs, design, and implement solutions for detecting, preventing, and alerting on platform issues to ensure stability and health. Experience with infrastructure automation and scripting: Proficiency in using Ansible for automation, with knowledge of Python and/or Node.js. Certified Elasticsearch Engineer: Possession of a relevant certification (e.g., Elastic Certified Engineer). Compensation range: The salary range for this position is: $ 127,310.00 - $ 243,340.00 . USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA 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, or status as a protected veteran. Powered by SonicJobs (an advertiser on JobG8). By applying, you consent to share your data with SonicJobs and the employer. JobG8 or SonicJobs does not store or use your application data beyond facilitating the application. See USAA Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. Every mile driven by a Waymo car is a unique and valuable piece of data that can be leveraged into improving our machine learning models, and ultimately the safety and capabilities of the Waymo Driver. Charting the path from collection of a piece of data, to curation, (auto labeling), model training and evaluation, all the way to model deployment and monitoring is a process of continuous scaling and quality improvement of the entire ML lifecycle. The Area Technical Lead for the Waymo machine learning flywheel is responsible for architecting, connecting, automating and improving the entire span of this self improvement process in close collaboration with Waymo's infrastructure, modeling and evaluation teams. They are directly accountable to Waymo's leadership for the organization's ML data strategy and its impact on Driver quality. You will report directly to our Distinguished Engineer, Foundation Models. You Will: Architect a path towards every autonomous mile driven by a Waymo car to be automatically incorporated into an automated data driven self improvement loop for the Waymo Driver. Enable a data flywheel to serve the demands of scalable pre training, post training targeted to relevant critical behaviors, as well as Driver simulation and validation. Enable a modeling flywheel to efficiently consume that data to reliably generate updated models that are validated and deployable with minimal human toil. Coordinate cross functional efforts in partnership with data and ML infrastructure teams, resource planning, logging infrastructure, modeling and validation teams to accelerate the velocity, impact and leverage of driving data on the Waymo Driver. Act as the steward of data quality, by providing tooling and metrics to evaluate the impact of mining, selection and curation on the modeling pipeline performance. Articulate the strategy for incorporating diverse data sources, including third party and synthetic data into that improvement flywheel. Drive innovation across all axes of performance and efficiency, from Driver quality, to scalability, cost, engineering velocity, model architecture and performance. You Have: Master's degree or PhD in Computer Science, Engineering, or a related technical field 10+ years of experience in ML model development, and you have 2+ years experience with large scale vision, video, or multi modal foundation model development and their integration in end to end models 6+ years of experience in ML driven production systems that develops models with large scale data, training, evaluation, and deployment 6+ years of experience in a technical leadership role leading technical teams and setting technical directions in large ML Engineering organizations Demonstrated expertise in large scale machine learning and its key components: pre training, post training, and validation. Deep understanding of both infrastructure and quality aspects. Track record of architecting and standing up a machine learning flywheel at scale for mission critical applications. Experience with driving model quality improvements through systematic data scaling and curation. Communication and interpersonal skills. Ability to inspire, influence and coordinate across functions and disciplines. We Prefer: PhD in computer science. Experience in multi modal LLM model development, and their infrastructure. Familiarity with multi task, end to end models and their development challenges. The expected base salary range for this full time position across US locations is listed below. Actual starting pay will be based on job related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $332,000 - $421,000 USD

Sr. Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI) Overview: 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. 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. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders 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 Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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 AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead 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, 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).

Sr. Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI) Overview: 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. 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. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders 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 Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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 AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead 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, 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).

At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence. If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. About The Role As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation. We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other's words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! Primary Job Responsibilities Deliver high-impact AI and ML capabilities that drive insight generation on the PitchBook Platform. Ensure your work contributes to broader business goals and is aligned with the team's strategic priorities Provide hands-on expertise in designing, building, and deploying AI/ML models and services with a focus on NLP, summarization, semantic search, classification, and prediction. Contribute to the development of scalable, high-performance systems that meet production-grade reliability and efficiency standards Contribute to a culture of technical excellence by sharing knowledge, pairing with teammates, and actively participating in code and design reviews. Provide situational guidance to junior engineers and contribute to team best practices Build and optimize models that leverage classifiers, transformers, LLMs, and other NLP techniques to generate meaningful insights from structured and unstructured data. Integrate these models into the broader AI/ML infrastructure in collaboration with partner teams Collaborate with engineering, product management, and data collection teams to ensure models are informed by high-quality data and support strategic product goals Explore and experiment with emerging technologies, methodologies, and tools in the fields of GenAI, NLP, and search. Translate research findings into practical solutions that enhance PitchBook's AI capabilities Contribute to best practices in model transparency, monitoring, evaluation, and compliance. Help maintain high standards of security, data integrity, and responsible AI use across your projects Participate in the technical evaluation of candidates and help onboard new team members by contributing to documentation, pairing, and knowledge-sharing practices Apply principles from Agile, Lean, and Fast-Flow methodologies to support efficient model development and deployment cycles Support the vision and values of the company through role modeling and encouraging desired behaviors Participate in various company initiatives and projects as requested Skills And Qualifications Bachelor's degree in Computer Science, Mathematics, Data Science, or related technical field, advanced degrees are preferred 2+ years of experience in software engineering or machine learning engineering, with a strong focus on AI/ML applications in insight generation, summarization, semantic search, and prediction Demonstrated expertise in natural language processing (NLP) and machine learning, including hands off experience with classifiers, transformer models, large language models (LLMs), and widely used ML and data science libraries such as scikit learn, pandas, numpy, TensorFlow, and PyTorch Experience delivering production grade GenAI or LLM based systems with measurable business impact Familiarity with the LangChain ecosystem, including tools such as LangSmith and LangGraph, and experience using them in production environments is a strong plus Proficiency in building and maintaining scalable data pipelines and distributed systems using technologies such as Apache Kafka, Airflow, and cloud data platforms like Snowflake Strong programming skills in Python and SQL, with working knowledge of additional languages such as Java or Scala considered a plus Practical experience with cloud native development, containerization, and orchestration technologies such as Docker and Kubernetes Demonstrated ability to solve complex technical problems, contribute to architectural decisions, and deliver high performance, reliable solutions Excellent communication and collaboration skills, with experience working cross functionally with product managers, engineers, and data scientists in globally distributed teams Experience working in fast paced, data driven environments. Prior exposure to fintech or financial data platforms is a strong advantage Experience authoring research papers for peer reviewed AI/ML conferences (e.g., NeurIPS, ICML, ACL) and participating in the broader AI research community is strongly preferred Must be authorized to work in the United States without the need for visa sponsorship now or in the future Benefits + Compensation at PitchBook Physical Health Comprehensive health benefits Additional medical wellness incentives STD, LTD, AD&D, and life insurance Emotional Health Paid sabbatical program after four years Paid family and paternity leave Annual educational stipend Ability to apply for tuition reimbursement CFA exam stipend Robust training programs on industry and soft skills Employee assistance program Generous allotment of vacation days, sick days, and volunteer days Social Health Matching gifts program Employee resource groups Subsidized emergency childcare Dependent Care FSA Company wide events Employee referral bonus program Quarterly team building events Financial Health 401k match Shared ownership employee stock program Monthly transportation stipend Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. Compensation Annual base salary: $125,000-$180,000 Target annual bonus percentage: 10% Working Conditions At the heart of our company is a belief in the power of in person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments-those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices-that simply can't be replicated remotely. This role is expected to be in the office 5 days a week. The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events. Life At PB We are consistently recognized as a Best Place to Work and our culture is at the heart of our success. It's our fundamental belief that people do and create great things and that people are the cornerstone of prosperity. We believe that proactively seeking out different points of view, listening to others, learning, and reflecting on what we've heard creates a sense of belonging within PitchBook and strengthens the PitchBook community. We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting edge AI research to real world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. If you're passionate about building state of the art AI systems and want to see your work have immediate business and customer impact, we'd love to talk. Responsibilities Lead with vision - Set the technical direction for our Generative AI team, establish best practices, and inspire high impact innovation. Drive strategy - Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry's marketplace. Build cutting edge models - Develop and deploy large language and generative models for multimodal document processing and structured data extraction. Innovate across modalities - Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions. Engineer at scale - Create data pipelines and training workflows that can handle massive, complex datasets. Deploy in the cloud - Use AWS and other platforms to train, optimize, and deploy models into production at scale. Collaborate widely - Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows. Mentor and grow - Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team. Stay ahead - Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production. Qualifications Bachelor's degree required; advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus. 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision. Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs). Hands on experience with multimodal data (text, images, 3D). Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy). Solid grounding in probability, statistics, and optimization for generative modeling. Experience deploying ML and AI models using cloud microservice architecture (AWS preferred). Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred). A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders. Background in manufacturing, supply chain, or related industries is a plus - but curiosity and drive matter more. Must be a U.S. Citizen or Green Card holder (ITAR compliance). Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Azumo is currently looking for a highly motivated Data Scientist / Machine Learning Engineer to develop and enhance our data and analytics infrastructure. The position is FULLY REMOTE, based in Latin America. Professional English proficiency (B2/C1). This position will provide you with the opportunity to collaborate with a dynamic team and talented data scientists in the field of big data analytics and applied AI. If you have a passion for designing and implementing advanced machine learning and deep learning models, particularly in the Generative AI space, this role is perfect for you. We are seeking a skilled professional with expertise in Python for production level projects, proficiency in machine learning and deep learning techniques such as CNNs and Transformers, and hands on experience working with PyTorch. We're looking for a versatile Machine Learning Engineer / Data Scientist to join our big data analytics team. In this hybrid role you'll not only design and prototype novel ML/DL models, but also productionize them end to end, integrating your solutions into our data pipelines and services. You'll work closely with data engineers, software developers and product owners to ensure high quality, scalable, maintainable systems. Key Responsibilities Model Development & Productionization Design, train, and validate supervised and unsupervised models (e.g., anomaly detection, classification, forecasting). Architect and implement deep learning solutions (CNNs, Transformers) with PyTorch. Develop and fine tune Large Language Models (LLMs) and build LLM driven applications. Implement Retrieval Augmented Generation (RAG) pipelines and integrate with vector databases. Build robust pipelines to deploy models at scale (Docker, Kubernetes, CI/CD). Data Engineering & MLOps Ingest, clean and transform large datasets using libraries like pandas, NumPy, and Spark. Automate training and serving workflows with Airflow or similar orchestration tools. Monitor model performance in production; iterate on drift detection and retraining strategies. Implement LLMOps practices for automated testing, evaluation, and monitoring of LLMs. Software Development Best Practices Write production grade Python code following SOLID principles, unit tests and code reviews. Collaborate in Agile (Scrum) ceremonies; track work in JIRA. Document architecture and workflows using PlantUML or comparable tools. Cross Functional Collaboration Communicate analysis, design and results clearly in English. Partner with DevOps, data engineering and product teams to align on requirements and SLAs. About Azumo Based in San Francisco, California, Azumo is an innovative software development firm specializing in AI software development services. We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and AI. Our talented AI developers are trusted to deliver Top AI Development services in Generative AI, intelligent automation, and custom machine learning solutions. At Azumo, we believe in professional and personal growth. As a recognized AI Development company, we support our engineers in mastering the latest technologies and delivering Top AI Development services worldwide. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern AI solutions. We believe in giving back to our community and will volunteer our time to philanthropy, open source initiatives and sharing our knowledge. If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join our team or connect with us at . Requirements Minimum Qualifications Bachelor's or Master's in Computer Science, Data Science or related field. 5+ years of professional experience with Python in production environments. Solid background in machine learning & deep learning (CNNs, Transformers, LLMs). Hands on experience with PyTorch or similar frameworks (training, custom modules, optimization). Proven track record deploying ML solutions. Expert in pandas, NumPy and scikit learn. Familiarity with Agile/Scrum practices and tooling (JIRA, Confluence). Strong foundation in statistics and experimental design. Excellent written and spoken English. Preferred Qualifications Experience with cloud platforms (AWS, GCP, or Azure) and their AI specific services like Amazon SageMaker, Google Vertex AI, or Azure Machine Learning. Familiarity with big data ecosystems (Spark, Hadoop). Practice in CI/CD & container orchestration (Jenkins/GitLab CI, Docker, Kubernetes). Exposure to MLOps/LLMOps tools (MLflow, Kubeflow, TFX). Experience with Large Language Models, Generative AI, prompt engineering, and RAG pipelines. Hands on experience with vector databases (e.g., Pinecone, FAISS). Experience building AI Agents and using frameworks like Hugging Face Transformers, LangChain or LangGraph. Documentation skills using PlantUML or similar. Benefits Paid time off (PTO) U.S. Holidays Training Udemy free Premium access Mentored career development Profit Sharing $US Remuneration

Overview Data Science contributes to Cardinal Health within the Data & Analytics Function, which oversees the analytics life-cycle to identify, analyze and present insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base scientific methodologies from various disciplines, techniques and tools to extract knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and AI. Our mission is to leverage data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. Responsibilities Lead the Development of Innovative AI solutions: design, implement, and scale sophisticated AI solutions that address key business challenges within healthcare by leveraging areas such as Machine Learning, Generative AI, and RAG Technologies. Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. Explore and leverage Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate outputs. Shape Our AI Strategy: Work with stakeholders across the organization to understand needs and translate them into actionable AI-driven or AI-powered solutions. Act as a champion for AI within Cardinal Health, influencing the technology roadmap and aligning with business objectives. Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a distributed team, fostering a collaborative and innovative environment. Embrace an AI-Driven Culture: promote data-driven decision-making and use AI insights to drive business outcomes and improve customer experience and patient care. Qualifications 8-12 years of experience with a minimum of 4 years in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred Bachelor's degree in related field, or equivalent work experience, preferred GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth Experience building production-ready Generative AI Applications involving RAGs, LLMs, vector databases and embeddings models. Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. Experience with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support, preferred. Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences, preferred. Proficiency in Python, statistical programming languages, ML libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools, preferred. Experience in Cloud Functions, Vertex AI, MLFlow, Storage Buckets, IAM Principles and Service Accounts, preferred. Experience building end-to-end ML pipelines from data ingestion and feature engineering to model training, deployment, and scaling, preferred. Experience implementing CI/CD pipelines for ML models and other solutions, ensuring seamless production deployment, preferred. Familiarity with RESTful API design and implementation, including building APIs to integrate ML models and GenAI solutions with existing systems, preferred. Understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with emphasis on ML/GenAI, preferred. Experience in Agile development environments (Scrum or Kanban) and strong understanding of Agile principles, preferred. Familiarity with DevSecOps principles and practices, incorporating coding standards and security into the development lifecycle, preferred. What is expected of you and others at this level Applies advanced knowledge to manage a wide variety of projects Participates in developing policies and procedures to achieve goals Recommends new practices, processes, metrics, or models Works on or may lead complex projects of large scope Projects may have significant and long-term impact Provides solutions that may set precedent Independently determines methods for completion of new projects Receives guidance on overall project objectives Acts as a mentor to less experienced colleagues Anticipated salary range: $121,600 - $173,700 Bonus eligible: Yes Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being. Medical, dental and vision coverage Paid time off plan Health savings account (HSA) 401k savings plan Access to wages before pay day with myFlexPay Flexible spending accounts (FSAs) Short- and long-term disability coverage Work-Life resources Paid parental leave Healthy lifestyle programs Application window anticipated to close: 11/05/2025 If interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by factors including geographical location, relevant education, experience and skills and an evaluation of internal pay equity. Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply. Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law. To read and review this privacy notice click here ()

Overview Let's face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship. We do. You'll start noticing it from the first interview. Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you've ever met (each with their own personal BetterUp Coach), and most importantly, work that matters. This makes for a remarkably focused and fulfilling work experience. Frankly, it's not for everyone. But for people with fire in their belly, it's a game-changing, career-defining, soul-lifting move. Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture. If that sounds exciting-and the job description below feels like a fit-we really should start talking. AI is transforming the future of coaching-and BetterUp is at the forefront of that transformation. We're seeking a creative, product-minded machine learning engineer who's eager to roll up their sleeves and help shape what comes next alongside our world-class team. The ideal candidate is motivated by impact, thrives in fast-paced and ambiguous environments, and brings clarity where there's complexity. You're someone who values empowering your teammates as much as your own growth, and who stays focused on what matters most: delivering meaningful, human-centered value to our members and customers. At BetterUp, we support and challenge one another to grow, always with empathy and excellence. We're looking for someone who shares our commitment to continuous learning, who takes pride in craftspersonship, and who believes deeply in the power of technology to drive positive change in the world. And because we know peak performance comes from balance, we foster a culture that supports you in bringing your full self to our mission. We are a hybrid company with a focus on in-person collaboration when necessary. Employees are expected to be available to work from one of our office hubs at least two days per week, or eight days per month. Our US hub locations include: Austin, TX; New York City, NY; San Francisco, CA; and the Arlington, VA metro area. Please ensure you can realistically commit to this structure before applying. What You'll Do Design and deliver state-of-the-art Generative AI systems and experiences that set the standard for quality, engagement, and trust in coaching. Mentor and elevate engineers at all levels through technical guidance, code and design reviews, and thought partnership, raising the bar for engineering excellence. Collaborate deeply with cross-functional partners across product, research, design, and engineering, to ship and scale first-of-their-kind AI coaching products. Shape direction and scope by developing a deep understanding of customer needs and translating them into technical strategy and product roadmaps. Stay ahead of the curve in Generative AI research and practice, leading conversations on emerging technologies and how to responsibly bring them into production. Qualifications 7+ years as an ML engineer and 3+ years of hands-on experience building and shipping products on top of leading LLMs Proven track record designing, implementing, and evaluating LLM outputs Experience fine-tuning smaller models or adapting foundation models to improve quality, engagement, and scalability Background at a leading AI research lab or equivalent experience staying at the forefront of Applied ML/AI, GenAI, with strong software engineering skills and a deep understanding of LLM internals A high degree of initiative and ownership, combined with the ability to navigate ambiguity and adapt quickly to change Experience working collaboratively in a cross-functional team and with people at all levels in an organization Alignment with BetterUp's mission of enabling individuals to maximize their potential Ability to communicate complex ideas effectively to both technical and non-technical audiences, verbally and in writing A passion for continuous learning, customer empathy, and a desire to innovate within a fast-paced environment. AI at BetterUp Our team thrives at the intersection of human expertise and AI capability. As an AI-forward company, adaptation and continuous learning are part of our daily work. We're looking for teammates who are excited to evolve alongside technology - people who experiment boldly, share their discoveries openly, and help define best practices for AI-augmented work. These professionals thoughtfully integrate AI into their work to deliver exceptional results while maintaining the human judgment and creativity that drives real innovation. During our interview process, you'll have opportunities to showcase how you harness AI to learn, iterate, and amplify your impact. Benefits At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community. Access to BetterUp coaching; one for you and one for a friend or family member A competitive compensation plan with opportunity for advancement Medical, dental, and vision insurance Flexible paid time off Per year: All federal/statutory holidays observed 4 BetterUp Inner Workdays 5 Volunteer Days to give back Learning and Development stipend Company wide Summer & Winter breaks Year-round charitable contribution of your choice on behalf of BetterUp 401(k) self contribution We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don't hesitate to reach out - we encourage everyone interested in joining us to apply. BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. At BetterUp, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, residence location, as well as market indicators. The range below is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future. The base salary range for this role is as follows: New York City and San Francisco: $228,000 - $313,500 Austin, Arlington, and Chicago: $205,200 - $282,150 Protecting your privacy and treating your personal information with care is very important to us, and central to the entire BetterUp family. By submitting your application, you acknowledge that your personal information will be processed in accordance with our Applicant Privacy Notice. If you have any questions about the privacy of your personal information or your rights with regards to your personal information, please reach out to

About Quizlet At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We're energized by the potential to power more learners through multiple approaches and various tools. Let's Build the Future of Learning Join us to design and deliver AI powered learning tools that scale across the world and unlock human potential. About The Team The Personalization & Recommendations ML Engineering team builds the core intelligence behind how Quizlet matches learners with content, activities and experiences that best fit their goals. We power recommendation and search systems across multiple surfaces, from home feed and search results to adaptive study modes. Our mission is to make Quizlet feel uniquely tailored for every learner by combining cutting edge machine learning, scalable infrastructure and insights from learning science. You'll collaborate closely with product managers, data scientists, platform engineers and fellow ML engineers to deliver personalized learning pathways that drive engagement, satisfaction and measurable learning outcomes. About The Role As a Senior or Staff Machine Learning Engineer on the Personalization & Recommendations team, you'll design and build large scale retrieval, ranking, and recommendation systems that directly shape how learners discover and engage with Quizlet. You'll bring deep expertise in modern recommender systems - from deep learning based retrieval and embeddings to multi task ranking and evaluation - and help evolve Quizlet's personalization stack to power adaptive, effective learning experiences. You'll work at the intersection of machine learning, product design, and scalable systems, ensuring our recommendations are performant, responsible, and aligned with learner outcomes, privacy, and fairness. This is an onsite position in our San Francisco office; employees are required to work in the office at least three days per week (Monday, Wednesday, and Thursday). In This Role, You Will Design and implement personalization models across candidate retrieval, ranking, and post ranking layers, leveraging user embeddings, contextual signals, and content features. Develop scalable retrieval and serving systems using architectures such as Two Tower, deep ranking, and ANN based vector search for real time personalization across surfaces. Build and maintain model training, evaluation, and deployment pipelines, ensuring reliability, training serving consistency, and robust monitoring. Partner closely with Product and Data Science to translate learner objectives (engagement, retention, mastery) into measurable modeling goals and experimentation plans. Advance evaluation methodologies, refining offline metrics (e.g., NDCG, CTR, calibration) and supporting rigorous A/B testing to measure learner and business impact. Collaborate with platform and infrastructure teams to optimize distributed training, inference latency, and serving cost at scale. Contribute to the long term technical vision for personalization and recommendations, aligning modeling strategy with Quizlet's AI and product roadmaps. Stay current with RecSys research and industry trends, bringing relevant advances from top conferences (KDD, WSDM, SIGIR, RecSys, NeurIPS) into production. Mentor other engineers and applied scientists, fostering technical growth, experimentation rigor, and responsible ML practices. Champion collaboration, inclusion, and curiosity, helping build a team culture that values diverse perspectives and data driven problem solving. What You Bring To The Table 10+ years of experience in applied machine learning or ML heavy software engineering, with a strong focus on personalization, ranking, or recommendation systems. Track record of measurable impact, improving key online metrics such as CTR, retention, or engagement through recommender or search systems in production. Strong hands on skills in Python and PyTorch, with expertise in data and feature engineering, distributed training and inference on GPUs, and familiarity with modern MLOps practices - including model registries, feature stores, monitoring, and drift detection. Deep understanding of retrieval and ranking architectures, including Two Tower models, deep cross networks, Transformers, or MMoE, and how to apply them in production contexts. Experience with large scale embedding models and vector search (e.g., FAISS, ScaNN), including training, serving, and optimization at scale. Proficiency in experiment design and evaluation, connecting offline metrics (AUC, NDCG, calibration) with online A/B test results to drive product decisions. Ability to communicate complex technical ideas clearly, collaborating effectively with product managers, data scientists, and engineers across teams. Growth and mentorship mindset, contributing to team learning and helping raise the bar for modeling quality, experimentation, and reliability. Commitment to responsible and inclusive personalization, ensuring our ML systems respect learner privacy, fairness, and diverse goals. Bonus Points If You Have Publications or open source contributions in RecSys, search, or ranking. Familiarity with reinforcement learning for recommendations or contextual bandits. Experience with hybrid RecSys systems blending collaborative filtering, content understanding, and LLM based reasoning. Prior work in consumer or EdTech applications with personalization at scale. Compensation, Benefits & Perks Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $209,920 - $285,000, depending on location and experience, as well as company stock options. Collaborate with your manager and team to create a healthy work life balance. 20 vacation days that we expect you to take! Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice). Employer sponsored 401k plan with company match. Access to LinkedIn Learning and other resources to support professional growth. Paid Family Leave, FSA, HSA, commuter benefits, and wellness benefits. 40 hours of annual paid time off to participate in volunteer programs of choice. Why Join Quizlet • Massive reach: 60M+ users, 1B+ interactions per week • Cutting edge tech: Generative AI, adaptive learning, cognitive science • Strong momentum: Top tier investors, sustainable business, real traction • Mission first: Work that makes a difference in people's lives • Inclusive culture: Committed to equity, diversity, and belonging We strive to make everyone feel comfortable and welcome! We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing At Quizlet, we're excited about passionate people joining our team-even if you don't check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together. Quizlet's success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!

Get AI-powered advice on this job and more exclusive features. Trusted by 2,200+ financial institutions, Baselayer is the intelligent business identity platform that helps verify any business, automate KYB, and monitor real-time risk. Baselayer's B2B risk solutions & identity graph network leverage state & federal government filings and proprietary data sources to prevent fraud, accelerate onboarding, and lower credit losses. About You: You want to learn from the best of the best, get your hands dirty, and put in the work to hit your full potential. You're not just doing it for the win-you're doing it because you have something to prove and want to be great. You are looking to be an impeccable machine learning engineer working on cutting-edge AI solutions. You have 1-3 years of experience in machine learning development, working with Python and building ML models You're comfortable working with large-scale data and enjoy optimizing performance for computationally intensive ML systems You have a strong foundation in AI/ML fundamentals, particularly with LLMs, and are eager to experiment with emerging techniques You prioritize responsible AI practices and model governance, especially in regulated environments like KYC/KYB You have a keen eye for detail and take pride in writing clean, maintainable code while optimizing for model performance You thrive in a high-trust, ownership-focused environment and are comfortable working across different levels of abstraction Problem-solver who navigates the unknown confidently Proactive self-starter who thrives in dynamic settings Incredibly intelligent and clever. You take pride in your models Highly feedback-oriented. We believe in radical candor and using feedback to get to the next level Responsibilities Model Development & Integration: Build and maintain ML models and integrate them with various data sources, ensuring scalability, high performance, and adaptability for autonomous agents in the GTM space ML System Design: Architect and design core ML services that support KYC/KYB processes, leveraging knowledge graphs and LLMs for dynamic use cases Data Processing & Feature Engineering: Develop and maintain robust data pipelines for feature extraction and transformation, focusing on scalability and performance when handling large-scale, high-dimensional data Advanced ML Techniques: Implement and experiment with state-of-the-art techniques including reinforcement learning from human feedback (RLHF) and parameter-efficient fine-tuning methods (e.g., LoRA) to improve LLMs for specific use cases within the identity space ML Infrastructure: Build and maintain infrastructure for model training, evaluation, and deployment, creating a scalable platform foundation for continued innovation Model Governance & Compliance: Ensure ML systems meet industry standards for fairness, explainability, and compliance, particularly around KYC/KYB regulations Performance Optimization: Implement optimizations for model inference and training, ensuring ML services can efficiently process identity data while maintaining reliability Experimentation & Evaluation: Design and conduct experiments to evaluate model performance, debug issues, and monitor ML services, while continuously improving architectures to handle diverse data and use cases Hybrid in SF. In office 3 days/week Flexible PTO Smart, genuine, ambitious team Salary Range: $150k - $225k + Equity - 0.05% - 0.25% Seniority level Entry level Employment type Full-time Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Baselayer by 2x.

Overview At Scale AI, our mission is to accelerate the development of AI applications. Scale is a leading AI data foundry, enabling data capabilities for generative AI, defense applications, and autonomous vehicles. We are building on our prior model evaluation work with enterprise customers and governments to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we produce supports how humanity will interact with AI. Our Approach As part of the interview process, you'll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. These teams power Scale's AI data operations-from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through trusted safety and security measures. Responsibilities Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal Collaborate closely with internal operators (your users are your neighbors) to identify bottlenecks and ship fast, pragmatic solutions Own core systems critical to our contributor platform, with direct impact on Scale's GenAI data pipeline and business outcomes Architect and scale infrastructure capable of handling millions of tasks per week with high reliability and low latency Partner cross-functionally with ML teams, Forward Deployed Engineers, and Product to ensure data quality and operational excellence Contribute to a strong engineering culture while setting best practices for teammates through mentorship, code reviews, and process improvements Requirements 5+ years of software engineering experience, ideally in high-growth, product-focused environments Proven track record of shipping production systems at scale Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal Strong product sense and ability to translate ambiguous problems into technical solutions Comfortable working in a fast-paced, high-ownership environment with a bias toward execution Excited to join a dynamic hybrid team based in San Francisco or New York City Compensation and Benefits Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The salary range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and other factors, including job-related skills, experience, interview performance, and education or training. Eligible employees are granted equity-based compensation, subject to Board approval. Recruiters can share the specific salary range for your location during the hiring process, and confirm whether the role is eligible for equity. Benefits include comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may be eligible for additional benefits such as a commuter stipend. Location and Notice Please reference the job posting's subtitle for the location. For pay transparency, the base salary range for this full-time position in San Francisco, New York, and Seattle is: $216,200 - $270,250 USD. Equal Opportunity and Accessibility Scale AI is an equal opportunity employer. We provide reasonable accommodations to qualified applicants and employees. If you need assistance during the application or recruiting process, please contact . We comply with applicable equal employment opportunity laws and disclosure requirements where applicable.