Remote Vehicle Tracking Jobs in California (NOW HIRING)

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt.We'returningtoday'simpossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.Every day, our products move millions of peopleas we aim to makedriving safer, smarter, and more connected, shaping the future of transportation on a global scale. Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios.

As a Staff ML Engineer on the Prometheus team within the Embodied AI organization, you will be a senior engineer responsible for developing and deploying offboard machine learning solutions that deliver ground-truth-quality world estimates for multiple partner teams, including onboard model teams, simulation, and evaluation. The models you build will influence every stage of autonomous vehicle development-from training and validation to testing and safety. You will work closely with cross-functional engineering teams, help shape technical direction in your domain, and support other engineers' growth through collaboration and mentorship. You will also help transition research into scalable onboard ML capabilities while continuously improving the autonomy stack.

What You'll Do

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

• Apply techniques such as unsupervised pre-training, supervised learning, model scaling/selection, foundation modeling, to solve problems in object detection/tracking/classification.

• Deliver model improvements by systematic use of GMs large scale datasets, utilizing the highest value data for solving the hardest problems, while demonstrating model scaling through data.

• Collaborate with cross-functional teams to deploy and serve models and algorithms at large scale.

• 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

• Master's 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 communication skills enabling effective collaboration across engineering teams.

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

• Experience in robotics or autonomous driving systems preferred.

Remote/Hybrid:This role is based remotely but if you live within a 50-mile radius of Austin, Detroit, Warren,Milfordor Mountain View, you are expected to report to that location three timesperweek, at minimum.

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 $189,300.00 to $320,700.00. 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.

Relocation: This job may be eligible forrelocationbenefits.

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.

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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

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

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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.

Accommodations

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