Senior Machine Learning Engineer
Core
Building Physical AI systems for autonomous transport platforms, bridging high-level AI research with real-world physical actuation.
Role type
Senior Machine Learning Engineer (Autonomous Driving & Physical AI)
Builds
Next-generation autonomous transport platforms, multimodal models, and interactive world models for physical vehicle actuation.
Domain
Autonomous driving, robotics, physical AI, sensor fusion.
Deliverable
production ML models
Required skills
Reinforcement Learning, model distillation, multimodal model design, sensor fusion (Camera/LiDAR/Radar), PyTorch/JAX, Python, C++, BEV frameworks, representation learning, data tokenization, model optimization, edge deployment, profiling tools, data curation pipelines, active learning.
Preferred skills
Generative Diffusion models, hardware-accelerated runtimes (TensorRT, CUDA), low-level hardware/firmware integration, custom carrier board development.
Technologies
PyTorch, JAX, Python, C++, TensorRT, CUDA, CUDA, BEV frameworks.
Responsibilities
Research and develop RL/distillation techniques for trajectory planning; Design and deploy end-to-end multimodal models for vehicle actuation; Develop interactive world models from multi-sensor logs; Optimize massive models for low-latency edge deployment; Architect automated pipelines for ingesting and filtering massive multi-sensor datasets; Partner with validation teams to run model releases through simulated scenarios.
Seniority
Senior, hands-on IC