Machine Learning Engineer, Application Software
Core
Design and deliver ML-driven behaviors for model-based autonomous driving, scaling from assisted to autonomous levels.
Role type
Senior IC machine learning engineer (autonomous driving)
Builds
End-to-end driving models, evaluation frameworks, and 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-in-the-loop
Preferred skills
Autonomous driving, imitation learning, trajectory prediction, personalization, human behavior modeling, driver intent inference, multi-agent simulation
Technologies
PyTorch, C++, CUDA
Responsibilities
Develop and improve end-to-end driving models; Lead technical initiatives in personalized and collaborative driving; Build evaluation pipelines and metrics; Curate and mine real-world and synthetic data; Collaborate across engineering teams to integrate models; Mentor senior engineers and drive technical alignment
Seniority
Senior, hands-on IC with leadership responsibilities