Lead Machine Learning Engineer
Core
Designing, training, and evaluating state-of-the-art Machine Learning models for autonomous driving, simulation, and platform stacks in a commercial large-scale environment.
Role type
Lead Machine Learning Engineer (Autonomous Vehicles)
Builds
Autonomous vehicle decision-making systems, simulation environments, and ML platform infrastructure for public transit.
Domain
Autonomous Vehicles / Robotics / Computer Vision / Generative AI
Deliverable
production ML models
Required skills
Architecting and training Vision Language Action (VLA) models, training Generative World Models, handling Foundation Models in Robotics, managing Data Centric AI pipelines, processing multi-modal datasets >100TB, addressing long-tail failure cases, leading cross-functional engineering teams, defining data balance and training practices at petabyte scale
Preferred skills
Post-training techniques, deploying models to edge hardware, C/C++/CUDA memory and threading models
Technologies
Python, PyTorch, Linux, LiDAR, Camera, Radar
Responsibilities
Design, train, and evaluate state-of-the-art models for autonomous driving and simulation; Leverage emerging techniques in End-to-End driving, VLA, and World/Foundation model domains; Lead small teams of cross-functional engineers; Define data balance, training experiment, and evaluation practices for petabyte-scale training
Seniority
Senior, hands-on IC with leadership responsibilities
