Research Engineer, Learnable Planner (Integration)

Waabi is an innovative AI company at the forefront of self-driving technology development, founded by AI pioneer Raquel Urtasun. The company is seeking a Research Engineer to join their Motion Planning team, focusing on the integration of AI technologies into their autonomy stack for self-driving trucks. This role combines cutting-edge machine learning research with practical implementation, working with their revolutionary high-fidelity simulator, Waabi World.

The position offers an exciting opportunity to work on core autonomous driving technology, implementing and integrating ML models into production systems. You'll be part of a team developing novel solutions for autonomous vehicle planning and decision-making, working closely with research scientists and engineering teams. The role requires expertise in machine learning, particularly in planning and decision-making systems, with hands-on experience in modern ML frameworks and programming languages.

The company offers a competitive compensation package, including equity and comprehensive benefits, and maintains a strong commitment to diversity and inclusion. With offices in major tech hubs (Toronto, San Francisco, and Dallas) and a hybrid work model, Waabi provides flexibility and a collaborative environment. This is an ideal opportunity for someone passionate about transforming theoretical AI advances into real-world applications in the autonomous driving industry.

The position offers significant growth potential within a rapidly expanding company that's pushing the boundaries of self-driving technology. You'll have the chance to contribute to groundbreaking research while working on practical implementations that could revolutionize transportation. The role combines the excitement of a startup environment with the stability of strong financial backing from top-tier investors.