Senior AI​/ML Engineer, AV Pipelines & Lineage

Job Description

TheAV Pipelines & Lineageteam at GM builds core infrastructure that supports the end-to-end AI lifecycle of ML pipelines—from local experimentation and large-scale training to evaluation, lineage tracking, and operational visibility. Our platforms span both backend systems and user-facing interfaces, enabling ML engineers and researchers to develop, understand, and evolve models efficiently across diverse environments.

As a Senior AI/ML Engineer, you will focus on designing and implementing scalable ML infrastructure solutions. You will take ownership of key technical projects, provide mentorship to junior engineers, and collaborate across teams to solve complex problems. This is an individual contributor role emphasizing deep technical impact rather than leadership of large teams.

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.

• 5+ years of experience, with a strong background in large-scale distributed systems preferred.
• 1+ 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 salary range for this role is $155,420 to $395,900. 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.
• 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.

• 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.

This job may be eligible for relocation…