Who you are

- 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

- 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

What the job involves

- 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 secure 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

📌 Senior/Staff Research Engineer (Toronto)
🏢 Waabi
📍 Toronto