Senior AI/ML Engineer, AV Pipelines & Lineage

TheAV Pipelines & Lineageteam at GM builds core infrastructure that supports theend-to-end AI lifecycleof ML pipelines—from local experimentation and large-scale training to evaluation, lineage tracking, and operational visibility. Our platforms spanboth backend systems and user-facing interfaces, enabling ML engineers and researchers to develop, understand, and evolve models efficiently across diverse environments. The Role: As aSenior 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 atscale. Whatyou’lldo Design & Implementation: Utilizethe 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 frominceptionto 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. . Your Skills & Abilities (Required Qualifications) 5+ years of experience, with a strong background in large-scale distributed systems preferred. 1+ years of experience leading and driving large-scale initiatives. Proficiencyin building scalable infrastructureon the cloudusing Python, C++, Golang, or similar languages. Experience working with relational and NoSQL databases. Demonstrated ability to develop andmaintainsystems 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 anda commitmentto accuracy. A proventrack recordof efficiently solving complex problems. A startup mentality with a willingness to embrace uncertainty and wear multiple hats. What Will Give You a Competitive Edge (Preferred Qualifications) 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 ofMachine Learning (ML) models/pipelines. Python/C++/Golangproficiency. Relevant publications Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not be representative for positionslocatedoutside of New York, Colorado, California, or Washington. 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 incentivepayprogram 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, tuitionassistanceprograms, employeeassistanceprogram, GM vehicle discounts and more. 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, tuitionassistanceprograms, employeeassistanceprogram, GM vehicle discounts and more. Relocation: This job may be eligible forrelocationbenefits. Remote/Hybrid: This role is basedremotelybut if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum. #J-18808-Ljbffr General Motors