Staff ML Engineer Embodied AI Scaling Foundations

GM

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profile Job Location:

Sunnyvale, CA - USA

profile Monthly Salary: $ 189000 - 300000
Posted on: 2 days ago
Vacancies: 1 Vacancy

Job Summary

Job Description

At GeneralMotors ourproduct teams are redefining mobility. Through a human-centered design process we create vehicles andexperiencesthat are designed not just to be seen but to be felt. Were turning todays impossible into tomorrows standard from breakthrough hardware and battery systems to intuitive design intelligent software and next-generation safety and entertainment day our products move millions of people as we aim to make driving safer smarter and more connected shaping the future of transportation on a global scale.

The Data Scaling team owns the Data Flywheel for AVFoundationmodel development andsuccessive 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 for the product success. 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 productthat successively go up the DataScalingcurves thereby directly impacting AV product performance through smart use of data. As part of this work the team builds scalable systems and pipelines that attempt to 10x the data used its diversity and impact on the models with successive major releases. The team uses existing very large datasets 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 and retail fleets but also synthetic sim-based datasets.

Why Join Us

  • Scale up AV foundation model pre-training and fine-tuning with data to its maximum capacity into billions of examples - across different sources delivering the maximum value to the model through every additional example.

  • Work with cutting-edge technology and a collaborative high-impact team of AI/ML engineers data scientists and engineers who are passionateabout leveraging advanced AI techniques to drive innovation for L2 L3 and L4 applications.

  • Contribute to the safety reliability and scalability of next-generation autonomous vehicles.

As a Staff AI/ML Engineer in the Embodied AI Data Foundations organization you will serve as a senior individual contributor developing machine learning solutions maximallyleveragingmultiple sources of data including real and synthetic datasets that directlyimpactautonomous driving performance. You will design and implement advanced data curation and model training recipesthewill deliverML models thatenablingsafe and reliable vehicle behavior across diverse real-world scenarios.

In this role you will partner closely with cross-functional engineering teams contribute to core technical direction within your domain and support the growth of engineers through technical collaboration and mentorship. You will help translate research into scalable onboardand offboardML solutions while contributing to the continuous improvement of our autonomy stack.

What Youll Do

  • Design and implement ML solutions aligned with GMs autonomous driving objectives.

  • Apply techniques such as unsupervised pre-training imitation learning reinforcement learning model scaling/selection foundation modeling to solve problems in object detection/tracking/classification trajectory generation and safe AI.

  • Collaborate with cross-functional teams to deploy models and algorithms into onboard driving systems.

  • Contribute to applied research efforts and remain current with advancements in ML frameworks and methods.

  • Design and build efficient infrastructure pipelines and tooling to facilitate fast-pace model iterations.

  • Drive technical execution from prototyping through production deployment documenting learnings and best practices.

  • Support and mentor engineers through technical collaboration and code reviews fostering knowledge sharing and engineering excellence.

Your Skills & Abilities

  • BachelorsMasters or PhD in Computer Science Robotics Machine Learning or related field.

  • Experience working with large-scale foundation models and alignment methods applied to real-world systems.

  • Demonstrated ability to deliver applied ML solutions under real-world constraints and timelines.

  • Proficiency in PyTorch and Python.

  • Experience building and scaling model training pipelines enabling efficient iteration across teams.

  • Strong data processing skills using tools such as NumPy Pandas and Apache Spark.

  • Strong communication skills enabling effective collaboration across engineering teams.

  • Experience deploying ML models into production environments and understanding end-to-end deployment workflows.

  • Experiencein robotics or autonomous driving systems preferred.

Remote/Hybrid: This role is categorized as fully remote or hybrid.

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 berepresentative for positionslocatedoutside of the California Bay Area.

  • The salary range for this role is $189000 to $300000. 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:

  • Benefits: GM offers a variety of health and wellbeing 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.

Company Vehicle: Upon successful completion of a motor vehicle report review you will be eligible toparticipatein a company vehicle evaluation program through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participantsare required topurchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

Relocation: This job may be eligible for relocation benefits.

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About GM

Our vision is a world with Zero Crashes Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day individually and collectively to drive meaningful change through our words our deeds and our culture. Every day we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one were looking out for your well-beingat work and at homeso you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex race color national origin citizenship status religion age disability pregnancy or maternity status sexual orientation gender identity status as a veteran or protected veteran or any other similarly protected status in accordance with federal state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more visit How we Hire.

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Required Experience:

Staff IC

Job DescriptionAt GeneralMotors ourproduct teams are redefining mobility. Through a human-centered design process we create vehicles andexperiencesthat are designed not just to be seen but to be felt. Were turning todays impossible into tomorrows standard from breakthrough hardware and battery syste...
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