Senior ML Engineer (Embodied AI)

TL;DR

Senior ML Engineer (Embodied AI): Developing and scaling AV foundation models and data pipelines to improve autonomous driving behaviors with an accent on data scaling curves and model fine-tuning. Focus on implementing unsupervised pre-training, imitation learning, and reinforcement learning to solve complex trajectory generation and object detection challenges.

Location: Remote or Hybrid (Sunnyvale, California)

Salary: $159,300 – $230,700

Company

Global automotive leader redefining mobility through autonomous vehicle technology and intelligent software.

What you will do

• Develop and optimize ML solutions for autonomous driving objectives.
• Apply unsupervised pre-training, imitation learning, and RL for object detection and trajectory generation.
• Collaborate with cross-functional teams to deploy models into onboard vehicle systems.
• Build scalable data pipelines to increase data diversity and impact on foundation models.
• Translate research concepts into production-ready ML solutions.
• Participate in code reviews and technical documentation to maintain engineering quality.

Requirements

• Degree in Computer Science, Robotics, Machine Learning, or a related field.
• Experience applying ML techniques to large-scale datasets or real-world systems.
• Proficiency in PyTorch and Python.
• Experience with model training pipelines or large-scale data processing workflows.
• Strong skills in NumPy, Pandas, and Apache Spark.
• Must be based in or eligible to work in the US (Sunnyvale, CA)

Nice to have

• Experience deploying ML models into production environments.

Culture & Benefits

• Comprehensive health, dental, and vision programs.
• Financial security via retirement savings plans, HSA, and FSA.
• Paid vacation, holidays, and sickness/accident benefits.
• Tuition assistance and employee assistance programs.
• Exclusive GM vehicle discounts.
• Potential eligibility for relocation benefits.