Waabi is hiring a Research Scientist in Toronto!
Waabi is hiring a Research Scientist for its Toronto office to advance the company's Physical AI work on autonomous trucks and robotaxis. The role centres on inventing new AI methods that feed both the core autonomy stack and Waabi World, the company's high-fidelity closed-loop simulator. The posting explicitly invites applicants at both junior and senior levels, so candidates with strong academic foundations and emerging publication records are considered alongside more established researchers. Work spans a broad set of self-driving problems rather than a single narrow domain, and there is a clear expectation that research moves beyond prototypes into production. The team publishes externally and maintains a company blog, so scientific communication is part of the job rather than an afterthought.
Key responsibilities
- Lead and contribute to AI research projects, designing new algorithms for the autonomy system and the simulator
- Tackle problems across perception, motion forecasting, controls, sensor simulation, scenario generation, behavior modeling, mapping, localization, data mining and safe deployment
- Apply recent advances such as transformers, foundation models, LLMs and VLMs, generative modeling, imitation and reinforcement learning, and inverse rendering
- Partner with platform teams to integrate research results into production systems
- Track and extend beyond the state of the art in machine learning, computer vision and self-driving
- Maintain high engineering standards with well-structured, tested code
- Publish at venues such as NeurIPS, ICLR, ICML and CVPR, and contribute to the company blog
Key requirements
- Master's or PhD in computer science, AI, machine learning, computer vision, robotics or a closely related field; exceptional bachelor's candidates considered
- Research experience evidenced by internships, work experience, projects, or papers at top conferences
- Solid quantitative foundation including linear algebra, calculus and probability
- Proficiency reading and writing Python
- Collaborative, open-minded approach and willingness to support colleagues
- Genuine interest in self-driving technology and hard problem solving
- Seniority: Open to junior and senior candidates
- Work mode: On-site (Toronto office)
- Key skills: Python, PyTorch, machine learning, computer vision, transformers, foundation models, LLMs/VLMs, generative modeling, reinforcement learning, inverse rendering, perception, motion forecasting, controls, sensor simulation, localization
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