Research Scientist

Waabi Waabi · Robotics · Toronto, ON +2 · Remote · Autonomy & Algorithms

Research Scientist role focused on inventing new AI technologies for autonomous transportation, specifically for fully driverless trucks. The role involves pushing the frontiers of AI research in areas like perception, motion forecasting, controls, and simulation, leveraging the latest advances in transformers, foundational models, LLMs/VLMs, and reinforcement learning. Collaboration with platform teams for production deployment and publishing research externally are key aspects.

What you'd actually do

  1. Lead and contribute to AI research projects, pushing the frontiers of the field by developing new algorithms for our autonomy system and state-of-the-art simulator.
  2. Work on a diverse set of problems related to self-driving, such as perception, motion forecasting, controls, sensor simulation, scenario generation, behavior modeling, mapping, localization, intelligent data mining & analysis, and safe deployment.
  3. Develop innovative solutions to problems by leveraging the latest advances in AI, including transformers, foundational models, LLMs/VLMs, generative modeling, imitation/reinforcement learning, inverse rendering, etc.
  4. Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.
  5. Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.

Skills

Required

  • Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study.
  • Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.
  • Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
  • Proficient in reading and coding in Python.

Nice to have

  • Exceptional Bachelor’s students will also be considered.
  • Previous experience in self-driving technology.
  • Experience in shipping machine learning features/models into production.
  • Proven track record of mentoring junior researchers or engineers.
  • Proficiency in Pytorch, Rust, C++ and/or CUDA.

What the JD emphasized

  • pushing the frontiers of the field
  • state-of-the-art simulator
  • fully driverless autonomous trucks
  • single AI system that learns end-to-end and in a provably safe manner
  • high-fidelity, closed-loop simulator
  • Submit and publish work externally at top machine learning, computer vision, and robotics conferences
  • Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.

Other signals

  • applying generative AI in the physical world
  • develop new algorithms for our autonomy system
  • state-of-the-art simulator
  • fully driverless autonomous trucks
  • single AI system that learns end-to-end and in a provably safe manner
  • high-fidelity, closed-loop simulator