Research Engineer, Learnable Planner (integration)
Waabi
Remote, US & Canada
Remote
Ms/phd in machine learning or related field
Experience with ml-based planning techniques
Proficiency in python, rust, c++, and cuda
Waabi is seeking a Research Engineer for their Learnable Planner team to integrate new AI technologies into their autonomy stack aimed at enabling driverless autonomous trucks. The ideal candidate should have a strong background in machine learning and programming, and be passionate about translating research into practical applications
Job Summary
The role involves integrating cutting-edge ML models into the production planning stack for fully driverless autonomous trucks.
Candidates will work closely with motion planning sub-teams to improve planner architecture and develop novel representations for end-to-end solutions.
Waabi is seeking innovative candidates to contribute to a single AI system that learns end-to-end in a provably safe manner.
Matching Summary
Match Score: 85
Waabi is seeking a Research Engineer for their Learnable Planner team to integrate new AI technologies into their autonomy stack aimed at enabling driverless autonomous trucks. The ideal candidate should have a strong background in machine learning and programming, and be passionate about translating research into practical applications.
Skills & Requirements
Must-have
MS/PhD in machine learning or related field
Experience with ML-based planning techniques
Proficiency in Python, Rust, C++, and CUDA
Deep learning framework experience with PyTorch
Nice-to-have
Experience deploying ML models to production
Strong grasp of current machine learning literature
Comfortable with model compilation and TensorRT
Collaborative team player with open-mindedness
Key Requirements
MS/PhD in machine learning, computer science, or engineering
Exceptional Bachelor's students considered
Solid understanding of computing fundamentals and code efficiency