Job Description
📋 Description Shape end-to-end driving model safety: offline/online experiments and technology transfer on the Train and deploy AV 2.0 models on a global fleet using large-scale, diverse data to validate Build open-loop and closed-loop evaluations for core capabilities and representation learning. Align priorities with AV Core, Evaluation, and Product Engineering using fleet, simulation, and Maintain awareness of division and company priorities and how Core Model Safety enables them. 🎯 Requirements 5+ years in ML engineering with experience scoping, evaluation, and knowledge transfer. Proficient in Python and languages like C++/CUDA; strong software engineering practices; experience Hands-on experience with transformer-based and multimodal architectures (vision-language models Experience training shared representations across multiple tasks/objects (multi-stage or joint Staff-level technical leadership: able to set direction and lead cross-functional work without 🎁 Benefits Hybrid work policy combining time in the Sunnyvale office with time remote. Competitive equity package; salary ranges provided in role description.
