Staff AI/ML Full-Stack Engineer, AV Pipelines & Lineage

Description

We're General Motors (GM), a company driving the future of mobility with advanced self-driving and electric vehicle technologies.

The AV Pipelines & Lineage team 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.

We enable reproducible, traceable, and efficient ML experimentation , significantly accelerating engineering velocity across GM's AI and ML initiatives.

The Role:

As a Staff AI/ML Full-Stack Engineer , you will design and build end-to-end software products , owning everything from user-facing interfaces to backend services and cloud infrastructure. You will lead technically complex projects, collaborate closely with product managers and platform teams, and mentor junior engineers. This is a hands-on individual contributor role with a strong emphasis on technical depth, system design, and product impact rather than people 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.

What you'll do

• Full-Stack Development : Design, implement, and maintain user-facing web applications and internal tools used by AV engineering teams. Build scalable backend services and APIs that power frontend experiences. Ensure systems are secure, reliable, and performant at scale.
• Frontend Engineering: Develop modern, responsive UIs using frameworks such as React, Angular, or similar, Collaborate with UX and product partners to deliver intuitive workflows and polished user experiences. Translate complex backend concepts into clear, usable interfaces.
• 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 professional software engineering experience, including full-stack development.
• Experience building and operating production-grade web applications
• 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 NoSQL 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.

• Experience with open-source orchestration platforms such as Kubeflow, Flyte, Airflow, etc.
• Experience with Google Cloud Platform, Microsoft Azure, or Amazon Web Services
• Experience with Kubernetes.
• Understanding of Machine Learning (ML) models/pipelines.
• Python/C++/Golang proficiency.
• Relevant publications.

• The salary range for this role is $172,420 to $297,500. 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.