Staff Machine Learning Engineer, Emergency Trajectory Models
Core
Lead technical direction and delivery of a learned emergency trajectory model for low-frequency, high-consequence maneuvers like evasive steering and emergency braking in autonomous vehicles.
Role type
Staff Machine Learning Engineer (Embodied AI / Autonomous Driving)
Builds
Learned emergency trajectory models and policies for automated driving systems
Domain
Autonomous driving, Embodied AI, Motion Planning
Deliverable
production ML models
Required skills
Staff-level technical leadership, learned trajectory-generation/policy modeling, behavior cloning, reinforcement learning, Python, PyTorch, large-scale data strategy, rigorous evaluation design, safety-relevant trade-off analysis
Preferred skills
Autonomous driving or robotics experience, motion planning/vehicle dynamics/control, fallback/redundant/mixture-of-experts architectures, rare event mining with simulation, real-time deployment (C++, CUDA), multimodal/transformer/diffusion models
Technologies
Python, PyTorch, C++, CUDA
Responsibilities
Set technical strategy and roadmap for the emergency trajectory model; Design and train trajectory-generating policies; Build a data strategy for rare emergency cases; Create rigorous open-loop and closed-loop evaluations; Lead integration into the shared driving stack and mentor teams
Seniority
Staff, hands-on IC with strategic leadership
