Machine Learning Engineer
Core
Design and deliver ML-driven behaviors for model-based autonomous driving, spanning from assisted to autonomous levels, focusing on core driving performance, personalization, comfort, and collaboration.
Role type
Senior IC machine learning engineer (autonomous driving)
Builds
Production-scale learning systems for autonomous vehicles
Domain
Autonomous driving / Robotics
Deliverable
production ML models
Required skills
Deep learning (sequential models, control, planning, perception), Python, C++, CUDA, PyTorch, software engineering practices, real-time systems, robotics, simulation, vehicle-in-the-loop
Preferred skills
Autonomous driving, imitation learning, trajectory prediction, personalization, human behavior modeling, driver intent inference, production hardware integration, multi-agent simulation
Technologies
PyTorch, C++, CUDA
Responsibilities
Develop and improve end-to-end driving models; Lead projects on personalized and collaborative driving; Build evaluation pipelines and metrics; Curate and mine real-world and synthetic data; Influence architecture choices and deployment pathways; Mentor senior engineers and shape technical direction
Seniority
Senior, hands-on IC with mentorship responsibilities