Job Description
📋 Description Lead ML initiatives across the autonomy stack from idea to on-road deployment. Design and productionize models for behavior and planning across geographies and vehicle platforms. Collaborate with Perception, Simulation & Evaluation, ML Infra, and Autonomy teams to deliver Own end-to-end model lifecycle: data, training, onboard inference, evaluation, and on-road 🎯 Requirements 7+ years building and deploying ML systems; track record leading multi-team initiatives. M.S./Ph.D. in CS/AI/ML/Robotics or equivalent experience. Strong foundation in ML; expertise in sequential decision making, prediction, or generative Full ML lifecycle experience from data collection to deployment and iteration. Strong Python (required) and/or C++ skills; ability to lead across teams. Excellent communication and ability to align cross-functional stakeholders. 🎁 Benefits Competitive base pay with bonus eligibility and equity. Benefits package and relocation assistance where applicable. Opportunity to mentor engineers and grow into management or tech-lead roles.
