Staff ML Engineer - Embodied AI Scaling Foundations
Core
Designing and implementing machine learning solutions for autonomous vehicle foundation models using large-scale real and synthetic datasets to enable safe and reliable vehicle behavior.
Role type
Staff individual contributor machine learning engineer (autonomous driving)
Builds
Scalable ML pipelines, data curation systems, and onboard/offboard ML solutions for L2-L4 autonomous driving applications
Domain
Autonomous driving / Embodied AI / Robotics
Deliverable
production ML models
Required skills
Foundation model pre-training and fine-tuning, imitation learning, reinforcement learning, model scaling, PyTorch, Python, large-scale data processing (NumPy, Pandas, Apache Spark), end-to-end model deployment
Preferred skills
Robotics or autonomous driving systems experience
Technologies
PyTorch, Python, NumPy, Pandas, Apache Spark
Responsibilities
Design and implement ML solutions for object detection, tracking, classification, and trajectory generation; build efficient infrastructure for fast model iterations; deploy models into production onboard driving systems; mentor engineers through code reviews and technical collaboration
Seniority
Staff, hands-on IC with mentorship responsibilities
