General Motors
Senior ML Engineer- Embodied AI Scaling Foundations
Vaga remota de Senior ML Engineer com fit claro de localização do candidato.
Publicada22 de jun. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Senior 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
- Develop and improve 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 into onboard driving systems.
- Implement and evaluate models, incorporating research advancements into practical applications.
- Contribute to taking ML solutions from experimentation through deployment and production support.
- Participate in code reviews, documentation, and technical discussions to support engineering quality and knowledge sharing.
- Bachelor’s orMaster’s degree in Computer Science, Robotics, Machine Learning, or related field.
- Experience applying machine learning techniques to real-world systems or large-scale datasets.
- Proficiency in PyTorch and Python.
- Experience working with model training pipelinesorlarge-scale data processing workflows.
- Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark.
- Ability to collaborate effectively within cross-functional engineering teams.
- Experience deploying ML models into production or working within production ML environments preferred.
Why Join Us?
- The salary range for this role is $159,300.00 to $230,700.00. 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 incentive pay program 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, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
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