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General Motors seeks an experienced Senior Engineering Manager – AI/ML for the Data Foundations organization to lead day-to-day people management, technical guidance, and execution. You will drive AV model performance through the data flywheel and set best practices for data-driven engineering across multiple teams.
You will manage AI/ML engineers, mentor staff, and align roadmaps with company objectives while collaborating with senior leaders to deliver scalable, high-impact results in
We areseekingan experienced and technically strong SeniorEngineering Manager – AI/MLEngineeringforthe Data Foundations organization of Embodied AI. This role emphasizes day-to-day peoplemanagement, technical guidance, and effective execution. You will contribute to the future of Autonomous Vehicle (AV) development by helping drive the vision and operational excellence of the data flywheel that continuously improves GM's Foundation AV model performance.
You will manage AI/ML Engineers, support their career growth, and guide the team's technical direction. In this role, you will collaborate closely with partner teams across the organization, help define best practices for engineering execution, and contribute to building and sustaining a high-impact, high-performance team.
The Data Scaling group owns the Data Flywheel for AVFoundationmodel development and successive fine tuning. It defines the composition of the data that is needed for the AV to learn behaviors at scale and deliver the driving behaviors necessary forthe productsuccess. The team owns the definition and processes for data quality across the data loop.
The team directly works on and delivers ML models to the product that successively go up the Data Scaling curves, thereby improving AV performance through smart use of data. As part of this work, the team builds scalable systems and pipelines thatattemptto 10x the data used, its diversity and impact on the models with successive major releases. The team uses existingvery largedatasets that GM has access to internally as well as defines the next generation of highest value datasets that GM continues to collect – both from real driving by GM internal and retail fleets but also synthetic sim-based datasets.
This role is categorized as fully remote or hybrid.
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.
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.
This job may be eligible for relocation benefits.
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