Learning-based Planning and Prediction Research Scientist for Autonomous Driving_CR
Core
Design, implement, and improve perception algorithms and planning/prediction systems for real-world autonomous driving and industry solutions.
Role type
Research Scientist (Autonomous Driving Perception & Planning)
Builds
Scalable planning and prediction systems, perception algorithms, and models for autonomous vehicles/robots.
Domain
Autonomous driving / Industry 4.0
Deliverable
production ML models | product features
Required skills
Machine learning algorithms, C++, Python, PyTorch, TensorFlow, data structures and algorithms, CNN, transformer, diffusion, GNN, reinforcement learning
Preferred skills
Experience deploying perception solutions in real products, ACM competition experience, published research papers at top conferences (NeurIPS, ICLR, ICML, CVPR, RSS, CoRL)
Technologies
C++, Python, PyTorch, TensorFlow
Responsibilities
Research and develop scalable planning and prediction systems based on machine learning; Collaborate with perception R&D team to ensure efficient and safe support for intelligent driving functions; Stay up-to-date with cutting-edge ML technologies and propose/implement practical solutions; Deploy solutions in real-world vehicles.
Seniority
Mid-Senior, hands-on IC
