General Motors
Staff ML Engineer- Embodied AI Scaling Foundations
Vaga remota de Machine Learning Engineering com fit claro de localização do candidato.
Publicada15 de jun. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Staff ML Engineer- Embodied AI Scaling Foundations
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
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 passionate about 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.
Details
- 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.
- 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.
- Experiencein robotics or autonomous driving systems preferred.
Why Join Us?
- The salary range for this role is $189,000 to $300,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Why Join Us?
- 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 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.
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