Machine Learning Engineer, App SW
Core
Design and deliver ML-driven behaviors for model-based autonomous driving, scaling from assisted to autonomous driving, focusing on core performance, personalization, comfort, and collaboration.
Role type
Senior IC machine learning engineer (autonomous driving)
Builds
End-to-end driving models, evaluation pipelines, and production-scale learning systems for automated driving.
Domain
Autonomous driving / Embodied AI
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 components, technical leadership, mentorship
Preferred skills
Autonomous driving, imitation learning, trajectory prediction, personalization, human behavior modeling, driver intent inference, ML integration into production hardware, multi-agent simulation
Technologies
PyTorch, C++, CUDA, Python
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; Collaborate cross-functionally; Mentor senior engineers and shape technical direction
Seniority
Senior, hands-on IC with leadership responsibilities
