Senior Machine Learning Engineer, Multimodal Perception
Core
Develop and release robust learned driving policies by bridging perception and planning for autonomous navigation systems.
Role type
Senior IC machine learning engineer (autonomous driving)
Builds
Production-ready decision-making models for autonomous vehicles
Domain
Autonomous driving, robotics, spatial AI
Deliverable
production ML models
Required skills
training and releasing ML models, learned driving policies (RL/imitation learning), PyTorch/JAX, closed-loop simulator evaluation, multi-modal perception integration, scenario generation, evaluation analysis
Preferred skills
Vision-Language-Action (VLA) models, World Models, foundation models
Responsibilities
Develop and release learned driving policies for complex navigation and yielding scenarios; translate multi-modal perception outputs into robust behavioral actions; deploy models into closed-loop simulation environments and benchmark against safety metrics; advance transition from rule-based heuristics to data-driven learned policies
Seniority
Senior, hands-on IC