Research Engineer, Waabi

• MS/PhD in machine learning, computer science, engineering, or a related field. Exceptional Bachelor’s students will also be considered
• Experience in ML-based or classical techniques for planning/decision making (e.g., imitation and reinforcement learning, optimization-based approaches, search methods, probabilistic reasoning)
• Passion for taking research ideas and turning them into practical solutions for real-world applications
• Open-minded and collaborative team player with willingness to help others
• Solid understanding of computing fundamentals, including code efficiency
• Experience in deep learning frameworks such as PyTorch
• Proficiency in Python, Rust, C++ and/or CUDA

Desirable

• The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks
• As a research engineer for Learnable Planner you will support integration of new AI technologies into our autonomy/planner stack enabling our launch of fully driverless autonomous trucks
• You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World
• Integrate cutting-edge ML models in production planning stack from development to validation, deployment, and monitoring
• Develop necessary interfaces and pipelines in simulation for testing prototype or production planning models
• Work closely with motion planning sub-teams and research scientists to improve our planner architecture and develop rich and novel representations that can facilitate end-to-end solutions
• Champion engineering excellence, ensuring high-quality, well structured and tested code
• Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature
• Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator
• Contribute to the publication of research findings in conferences as well as Waabi's blog

• Equity awards
• Medical, Dental and Vision coverage (for full-time employees only)
• Unlimited Vacation
• Flexible hours and Work from Home support
• Regularly scheduled team building activities and social events both on-site, off-site & virtually
• Annual performance bonus

Total funding: $272.4m

Autonomous vehicle technology is rapidly developing and many sectors are recognising its value. However, whilst the self-driving industry has made significant advancements there is much more that can be done. There are challenges in this space surrounding scale and developing commercially viable self-driving technology.