AI​/ML Engineer - AV ML Infra

About the team

The AV ML Infra team at GM builds ML infrastructure designed to meet the unique demands of AI and ML innovation, supporting a wide range of use cases across teams such as Embodied AI, Simulation, Data Science, and more. We enable scalable and efficient ML experimentation, enhance the productivity of ML engineers, and drive the adoption of cutting‑edge ML techniques.

As a Staff AI/ML Engineer, you will be a technical expert within the AV ML Infra team, driving the design and implementation of scalable ML infrastructure solutions. You will influence the direction of our technical projects, provide mentorship to peers, and help shape the adoption of best practices across GM’s ML infrastructure. This is an individual contributor/Tech Lead role focused on deep technical impact rather than team management.

Note:

This role is part of an ML infrastructure engineering team and does not involve applying machine learning models for specific tasks. The focus is on developing infrastructure products that empower GM teams to perform machine learning and data science at scale.

• Design & Implementation: Utilize the latest cloud technologies (GCP/Azure) to design, implement, and test scalable distributed computing and data processing solutions in the cloud.

• Project Ownership: Take ownership of technical projects from inception to completion, contribute to the product roadmap, and make informed decisions on major technical trade‑offs.

• Collaboration: Engage effectively in team planning, code reviews, and design discussions, considering the impact of projects across multiple teams while proactively managing conflicts.

• Mentorship & Recruitment: Conduct technical interviews with calibrated standards, onboard, and mentor engineers and interns, fostering a culture of growth and knowledge sharing.

• 8+ years of experience, with a strong background in large‑scale distributed systems preferred.

• 3+ years of experience leading and driving large‑scale initiatives.

• Proficiency in building scalable infrastructure on the cloud using Python, C++, Golang, or similar languages.

• Experience working with relational and No
  
  SQL databases.

• Demonstrated ability to develop and maintain systems at scale.

• A Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience.

• A passion for autonomous vehicle technology and its transformative potential.

• Strong attention to detail and a commitment to accuracy.

• A proven track record of efficiently solving complex problems.

• A startup mentality with a willingness to embrace uncertainty and wear multiple hats.

• Experience with Google Cloud Platform, Microsoft Azure, or Amazon Web Services.

• Experience with open‑source orchestration platforms such as Kubeflow, Flyte, Airflow, etc.

• Experience with Kubernetes.

• Understanding of Machine Learning (ML) models/pipelines.

• Python/C++/Golang proficiency.

• Relevant publications.

• The expected base compensation for this role is: $218,800 - $335,300. Actual base compensation within the identified range will vary based on factors relevant to the position.
• You also need to include general information about potential commissions, if applicable.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

• 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.

Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.

Note:

program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.