Senior Machine Learning Engineer, Vehicle Perception
Core
Design and deploy perception foundation models for autonomous vehicles using large-scale multimodal sensor data to enable 3D scene understanding.
Role type
Senior IC machine learning engineer (autonomous vehicle perception)
Builds
Perception foundation models and ML training/deployment pipelines for next-gen autonomous vehicle platforms
Domain
Autonomous driving / Computer vision / Deep learning
Deliverable
production ML models
Required skills
Deep learning (supervised/unsupervised/transfer/reinforcement), Python, PyTorch, C++, distributed/cloud ML infrastructure, data pipeline architecture, model optimization, neural network architecture design, multimodal architectures, self-supervised learning, pretraining, foundation models
Preferred skills
Published research at top-tier conferences, deploying ML models at scale in self-driving, offboard auto-labeling pipelines, vision-language models, world models, distilling large models for real-time variants, production-level coding on embedded platforms
Responsibilities
Lead design and development of perception foundation models, deploy scalable ML models on autonomous vehicle platform, integrate modern technologies with safety standards, contribute to end-to-end ML training and deployment components, champion scientific method in deep learning solutions, collaborate with Perception, Motion Planning, Simulation, and Infrastructure teams
Seniority
Senior, hands-on IC with leadership influence
