Waabi is an innovative AI company at the forefront of self-driving technology development, founded by AI pioneer Raquel Urtasun. As a Research Engineer for the Learnable Planner team, you'll be integral to developing autonomous truck technology through AI integration. The role focuses on implementing cutting-edge ML models into the production planning stack and working with Waabi World, their revolutionary high-fidelity simulator.
The position offers an exciting opportunity to work on core autonomy stack components, specifically in motion planning for self-driving trucks. You'll collaborate with research scientists and planning teams to develop novel solutions that advance the company's vision of creating a single, end-to-end AI system that learns in a provably safe manner.
The role combines practical engineering with research aspects, requiring both technical expertise in ML/AI and the ability to implement solutions in a production environment. You'll work with state-of-the-art technology, contribute to research publications, and have the opportunity to impact the future of autonomous transportation.
Waabi offers a competitive compensation package, including equity, comprehensive benefits, and a flexible work environment. The company maintains offices in major tech hubs and promotes a diverse, inclusive workplace culture. This is an excellent opportunity for someone passionate about AI and autonomous systems who wants to work at the intersection of research and practical application in a rapidly growing field.