Staff Machine Learning Engineer, AV Core
Core
Shape end-to-end driving model safety and reliability by building foundational capabilities for collision avoidance, scene understanding, and robustness under failure.
Role type
Staff Machine Learning Engineer (Autonomous Driving)
Builds
End-to-end AV 2.0 models, high-value open-loop and closed-loop evaluations, and shared representations for core capabilities.
Domain
Autonomous Vehicles / Machine Learning
Deliverable
production ML models
Required skills
ML engineering, Python, C++, CUDA, PyTorch, transformer-based architectures, multimodal architectures, vision-language models (VLM), vision-language-action models (VLA), shared representation training, staff-level technical leadership
Preferred skills
autonomous vehicles deployment, 3D scene understanding, reward modelling, behaviour modelling, model introspection, interpretability, safety-critical systems, foundations/pretraining experience
Technologies
PyTorch, C++, CUDA
Responsibilities
Drive Core Model Safety roadmap themes owning the full lifecycle from research to offline/online experiments to technology transfer; Train and deploy end-to-end AV 2.0 models on global fleet using large-scale diverse data; Build high-value open-loop and closed-loop evaluations for core capabilities and representation learning; Align priorities and learn from the organisation on roadmaps and failure modes; Mentor others on the team
Seniority
Staff, hands-on IC with technical leadership