Jobs via Dice
Senior Machine Learning Engineer
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Senior Machine Learning Engineer
role at
Jobs via Dice .
The Role We are seeking an experienced, technical‑oriented, impact‑delivering‑driven expert in ML Training Infrastructure with a strong ability to execute hands‑on technical work. In this role, you will design and build scalable, reliable, and high‑performance AI/ML platform infrastructure to support advanced AI research and model development initiatives. As a Senior ML System Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state‑of‑the‑art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles.
What You’ll Do
Design and develop scalable, reliable, high‑performance ML framework to support model training at scale.
Perform model training performance analysis and optimize solutions to scale distributed training workflows and maximize resource utilization across heterogeneous hardware environments.
Raise the bar on system observability, debuggability, operational excellence, and user experience.
Collaborate with cross‑functional teams to integrate new features and technologies into the platform.
Your Skills & Abilities (Required Qualifications)
Bachelor’s or higher degree in Computer Science or equivalent major or equivalent experience.
5+ years professional software engineering experience.
2+ years specialized experience in AI/ML infrastructure, e.g., enabling distributed training for scaling large ML models.
Strong programming skills in Python, with proficiency in frameworks such as PyTorch (preferred), TensorFlow, or similar.
Experience with distributed computing, GPU computing, and cloud environments (AWS, Google Cloud Platform, Azure).
Willingness to travel to Sunnyvale, CA as needed.
Comfortable working in highly ambiguous and dynamic environments.
What Will Give You a Competitive Edge (Preferred Qualifications)
Self‑motivated, strong execution, impact‑delivering oriented.
Extensive knowledge and experience with PyTorch 2.x+ and distributed training framework.
Experience with design and development of training framework that supports FSDP, Pipeline Parallelism, and other scalable solutions for large foundational models.
Experience with profiling, analysis, debugging, and optimizing training and dataloading performance.
Excellent communication skills to resolve controversies, build consensus, communicate risks, and give constructive feedback.
Compensation
Salary range: $134,000–$235,900.
Bonus potential: incentive pay program based on company performance, job level, and individual performance.
Relocation This job may be eligible for relocation benefits.
Benefits
Health insurance (medical, dental, vision), Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance, employee assistance program, GM vehicle discounts, and more.
Remote This role is based remotely but if you live within a 50‑mile radius of Mountain View, Detroit, Warren, or Milford, you are expected to report to that location three times a week, at minimum.
About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview From day one, we're looking out for your well‑being at work and at home so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting
Total Rewards resources .
Non‑Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non‑discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role‑related assessment(s) and/or a pre‑employment screening prior to beginning employment. To learn more, visit
How we Hire .
Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment,
email
us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Engineering and Information Technology
Industries
Software Development
#J-18808-Ljbffr
Senior Machine Learning Engineer
role at
Jobs via Dice .
The Role We are seeking an experienced, technical‑oriented, impact‑delivering‑driven expert in ML Training Infrastructure with a strong ability to execute hands‑on technical work. In this role, you will design and build scalable, reliable, and high‑performance AI/ML platform infrastructure to support advanced AI research and model development initiatives. As a Senior ML System Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state‑of‑the‑art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles.
What You’ll Do
Design and develop scalable, reliable, high‑performance ML framework to support model training at scale.
Perform model training performance analysis and optimize solutions to scale distributed training workflows and maximize resource utilization across heterogeneous hardware environments.
Raise the bar on system observability, debuggability, operational excellence, and user experience.
Collaborate with cross‑functional teams to integrate new features and technologies into the platform.
Your Skills & Abilities (Required Qualifications)
Bachelor’s or higher degree in Computer Science or equivalent major or equivalent experience.
5+ years professional software engineering experience.
2+ years specialized experience in AI/ML infrastructure, e.g., enabling distributed training for scaling large ML models.
Strong programming skills in Python, with proficiency in frameworks such as PyTorch (preferred), TensorFlow, or similar.
Experience with distributed computing, GPU computing, and cloud environments (AWS, Google Cloud Platform, Azure).
Willingness to travel to Sunnyvale, CA as needed.
Comfortable working in highly ambiguous and dynamic environments.
What Will Give You a Competitive Edge (Preferred Qualifications)
Self‑motivated, strong execution, impact‑delivering oriented.
Extensive knowledge and experience with PyTorch 2.x+ and distributed training framework.
Experience with design and development of training framework that supports FSDP, Pipeline Parallelism, and other scalable solutions for large foundational models.
Experience with profiling, analysis, debugging, and optimizing training and dataloading performance.
Excellent communication skills to resolve controversies, build consensus, communicate risks, and give constructive feedback.
Compensation
Salary range: $134,000–$235,900.
Bonus potential: incentive pay program based on company performance, job level, and individual performance.
Relocation This job may be eligible for relocation benefits.
Benefits
Health insurance (medical, dental, vision), Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance, employee assistance program, GM vehicle discounts, and more.
Remote This role is based remotely but if you live within a 50‑mile radius of Mountain View, Detroit, Warren, or Milford, you are expected to report to that location three times a week, at minimum.
About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview From day one, we're looking out for your well‑being at work and at home so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting
Total Rewards resources .
Non‑Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non‑discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role‑related assessment(s) and/or a pre‑employment screening prior to beginning employment. To learn more, visit
How we Hire .
Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment,
us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Engineering and Information Technology
Industries
Software Development
#J-18808-Ljbffr