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Staff ML Engineer - Embodied AI Scaling Foundations

General Motors

Location
United States
Workplace
Remote
Employment
Full Time
Salary
USD 189,000–300,000/yr
Apply on the employer’s site

Posted 23d ago

Note

The job is a remote job and is open to candidates in USA. General Motors is redefining mobility through innovative vehicle designs and experiences. They are seeking a Staff ML Engineer to develop machine learning solutions that enhance autonomous driving performance by leveraging diverse datasets and collaborating with cross-functional teams.

Responsibilities

  • Design and implement ML solutions aligned with GM’s 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

Skills

  • Bachelor's, 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 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
  • Experience in robotics or autonomous driving systems

Benefits

  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
  • 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.
  • 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.

Company Overview

  • General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts. It was founded in 1908, and is headquartered in Detroit, Michigan, USA, with a workforce of 10001+ employees. Its website is https://www.gm.com.

Company H1B Sponsorship

  • General Motors has a track record of offering H1B sponsorships, with 338 in 2026, 787 in 2025, 740 in 2024, 450 in 2023, 795 in 2022, 748 in 2021, 452 in 2020. Please note that this does not guarantee sponsorship for this specific role.

Skills

  • PyTorch
  • Python
  • NumPy
  • Pandas
  • Apache Spark
  • Machine Learning
  • Foundation Models
  • Alignment Methods
  • Model Training Pipelines
  • Data Processing
  • ML Model Deployment
  • Robotics
  • Autonomous Driving Systems

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