Research Engineer, Learnable Planner

Summary

Join Waabi, a leading AI company revolutionizing self-driving technology, as a Research Engineer for Learnable Planner. You will play a crucial role in integrating cutting-edge AI into our autonomous driving stack, contributing to the development of fully driverless trucks. This position involves integrating ML models, developing simulation interfaces, collaborating with research scientists, and ensuring high-quality code. You will stay abreast of advancements in AI and contribute to research publications. Waabi offers a competitive salary, comprehensive benefits, and a dynamic work environment.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• Experience deploying ML/DL models to a production motion planning or related robotics stack
• Experience in iterating on a model including evaluation, introspection and fine-tuning
• Strong grasp of machine learning literature, including current trends and state-of-the-art techniques
• Comfortable with model compilation and exporting, lower level concepts like TensorRT, CUDA kernels

Benefits

• Competitive compensation and equity awards
• Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only)
• Unlimited Vacation
• Flexible hours and Work from Home support
• Daily drinks, snacks and catered meals (when in office)
• Regularly scheduled team building activities and social events both on-site, off-site & virtually