Senior Machine Learning Engineer – Perception & Embodied AI
Core
Own the end-to-end pipeline for safety-critical ML perception models to enable vehicles to accurately see, classify, and track the environment (vehicles, pedestrians, road markings) in real-time.
Role type
Senior Machine Learning Engineer (Perception & Embodied AI)
Builds
Real-time perception models for autonomous driving systems deployed on vehicle compute platforms
Domain
Automotive / Autonomous Driving / Computer Vision
Deliverable
production ML models
Required skills
Deep learning frameworks (PyTorch, TensorFlow), 3D object detection and tracking, multi-modal sensor fusion (Camera, LiDAR, Radar), model optimization for embedded systems, large-scale data curation, model debugging for long-tail scenarios
Preferred skills
Transformer-based models for 3D detection, technical leadership and mentoring, academic publications in top-tier conferences
Technologies
PyTorch, TensorFlow, LiDAR, Radar, Camera
Responsibilities
Design, train, validate, and deploy deep learning models for core perception tasks; Build and scale ML training infrastructure; Optimize model performance for real-time embedded hardware; Debug model failures in adverse scenarios; Define robust model-level metrics; Integrate perception outputs with safety and systems functions
Seniority
Senior, hands-on IC
