Machine Learning Engineer
Core
Develop, optimize, and deploy production ML models for perception, prediction, planning, and scene understanding in autonomous vehicles.
Role type
Machine Learning Engineer (Autonomous Driving)
Builds
Production ML models for AV perception, prediction, and planning
Domain
Autonomous Vehicles / Robotics
Deliverable
production ML models
Required skills
Python, C++, PyTorch, TensorFlow, CUDA, TensorRT, neural network optimization, model deployment, data pipeline development, simulation analysis
Preferred skills
Transformers, multimodal models, diffusion models, world models, end-to-end driving models, large-scale ML systems experience
Technologies
PyTorch, TensorFlow, CUDA, TensorRT, Azure
Responsibilities
Own end-to-end ML lifecycle from data strategy to deployment; Develop and optimize models for perception, prediction, and planning; Optimize neural networks for latency and compute constraints; Integrate models into C++ autonomy systems; Build scalable training and inference pipelines; Analyze model performance using simulation and real-world data
Seniority
Open to all levels
