As a Senior Machine Learning Engineer you'll design scalable AI/ML infrastructure optimize model training performance and collaborate with teams to implement advanced AI solutions.

Description
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 be responsible for designing and building scalable reliable and high-performance AI/ML platform infrastructure to support advanced AI research and model development initiatives. As a Senior ML 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 development of scalable reliable high-performance ML framework to support model training at scale.
• Model training performance analysis and optimization solutions to scale distributed training workflows and maximize resource utilization across heterogeneous hardware environments and save cost.
• Raise the bar on system observability debuggability and operational excellence and user experience.
• Collaborate with cross-functional teams to integrate new features and technologies into the platform.

Your Skills & Abilities (Required Qualifications)

• Bachelors degree or higher in Computer Science or equivalent major OR equivalent relevant experience
• 3+ 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 asPyTorch (preferred) TensorFlow or similar
• Experience with distributed computing GPU computing and cloud environments (AWS GCP 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):

• 5+ years of professional software engineering experience.
• 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 to training large foundational models
• Experience with profiling analysis debugging and optimizing training and data loading performance.
• Excellent communication skills to resolve controversial make consensus communicate risks and give constructive feedback

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

• The salary range for this role is $170000 to $240000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance job level and individual performance.

Relocation: This job may be eligible for relocation benefits.
Benefits:

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical dental vision Health Savings Account Flexible Spending Accounts retirement savings plan sickness and accident benefits life insurance paid vacation & holidays tuition assistance programs employee assistance program GM vehicle discounts and more.

#GM-AV-1
This role is based remotely but if the selected candidate lives within a specific mile radius of a GM hub they will be expected to report to the location three times a week {or other frequency dictated by your manager}.
The selected candidate will be required to travel <25% for this role.
This job may be eligible for relocation benefits.
About GM
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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.
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