Research Scientist
Core
Invent new AI technologies for fully driverless autonomous trucks and a high-fidelity closed-loop simulator (Waabi World) using generative AI and end-to-end learning systems.
Role type
Research Scientist (Physical AI / Autonomous Driving)
Builds
Production-ready autonomy systems and a revolutionary high-fidelity simulator for commercial autonomous trucks and robotaxis.
Domain
Autonomous transportation, Physical AI, Generative AI, Robotics
Deliverable
production ML models | research
Required skills
Generative modeling, Transformers, Foundation models, LLMs/VLMs, Imitation learning, Reinforcement learning, Inverse rendering, Computer vision, Self-driving algorithms, Linear algebra, Calculus, Probability, Python
Preferred skills
PyTorch, Rust, C++, CUDA, Mentoring junior researchers, Shipping ML features to production
Technologies
Python, PyTorch, Rust, C++, CUDA, Waabi World simulator
Responsibilities
Develop new algorithms for autonomy systems and simulators; Solve problems in perception, motion forecasting, controls, sensor simulation, scenario generation, behavior modeling, mapping, localization, and data mining; Collaborate with platform teams to integrate research into production; Publish work at top ML/CV/robotics conferences (NeurIPS, ICLR, ICML, CVPR); Champion engineering excellence with high-quality, tested code.
Seniority
Senior and Junior scientists welcome (Entry to Mid-Senior level)