Posted 7 months ago
Research Engineer, World Models
@ Waabi
Toronto, Ontario
Overview
Waabi is hiring a Research Engineer for its World Models team to build and scale generative and predictive models of dynamic 4D driving environments for its autonomous-driving stack. The work covers video generation, multimodal foundation models, and distributed training and inference pipelines. The role is full-time, with unlimited vacation, flexible hours and remote-work support.
Responsibilities:
- Design and scale generative and predictive world-modeling systems
- Translate model prototypes into distributed training and inference pipelines
- Optimize training and inference for efficiency and reliability
- Build large-scale data pipelines for training datasets
- Maintain quality of the world model codebase and infrastructure
Requirements summary:
- Master's in computer vision, machine learning, robotics or related field, or equivalent experience
- Strong Python and PyTorch or JAX skills
- Extensive distributed training and large-scale deployment experience
- Experience building generative or predictive models of the physical world
- Strong teamwork and communication in a fast-paced environment
Tools & skills
Benefits mentioned
Source and dates
Employer career site / ATS feed · lever
- Employer posting date
- 2026-04-02
- First seen by our source
- 2026-10-08
- Source record updated
- 2026-10-15
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Department | Software development |
| Hours per week | 40 (estimated) |
| Work setting | Office, Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Master’s degree (preferred) |
| Fields of study | Computer Vision, Machine Learning, Robotics |
| Perks mentioned | Generous paid time off, Flexible hours, Performance bonus, Stock or equity, Wellness, Free or discounted meals |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Waabi
Funding & investors
Reported funding round: Series C
Investor named in the round: Khosla Ventures, G2 Venture Partners, Uber, NVentures, Volvo Group Venture Capital, Porsche Automobil Holding SE, Radical Ventures, HarbourVest Partners, Linse Capital, Incharge Capital, Export Development Canada, TELUS Global Ventures, BMO Global Asset Management
Announcement date: · Source checked: 2026-11-02
Company announcementSaved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Built to think. Born to haul.
Full company description
Waabi is pioneering Physical AI – starting with autonomous trucks. Press: [email protected] Business: [email protected]
- LinkedIn followers
- 28,690
- People associated on LinkedIn
- 291
- Reported office locations
- N/A, Toronto, CA
- San Francisco, California, US
- Business categories
- Artificial Intelligence
- Transportation
- Automotive
- Artificial Intelligence (AI)
- Machine Learning
- Autonomous Vehicles
- Other recorded names
- Waabi
- Profile identifies a recruitment agency
- No
- Reported total investment
- 1,033,036,757
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Waabi is pioneering Physical AI – starting with autonomous trucks. Press: [email protected] Business: [email protected]
| Field | Value |
|---|---|
| Industry | Truck Transportation |
| Company size | 51-200 employees |
| Headquarters | Toronto |
| Organization type | Privately Held |
| Year founded | 2021 |
| Open jobs on Jobsy | 55 |
| View page |
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
Waabi’s autonomous-driving stack is powered by Waabi World, which delivers realistic, scalable, controllable, and efficient simulation. As a Research Engineer in the World Models team, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments.
This role focuses on large-scale world models for temporal reasoning and generation, including video models, multimodal generative models, LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will directly power Waabi World’s ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training.
You will…
- Design, implement, and scale state-of-the-art generative and predictive world-modeling systems:
- Video generation and prediction
- Latent diffusion / autoregressive / flow-matching models
- Multimodal foundation models for driving scenes
- LLM / VLM / VLA methods for scene understanding, reasoning, and control
- Generative scenario modeling and controllable simulation
- Model distillation
- Collaborate closely with Research Scientists to translate cutting-edge model prototypes into robust, large-scale, distributed training and inference pipelines.
- Optimize model training and inference for efficiency, speed, and reliability on large-scale datasets.
- Build large scale data pipelines to build high quality datasets for training
- Ensure the quality, stability, and maintainability of the world model codebase and infrastructure.
- Stay on top of emerging advances in generative AI, distributed systems, and efficient model deployment in robotics.
Qualifications:
- Strong software engineering and implementation: You have very strong Python & PyTorch (or JAX) skills; strong software-engineering fundamentals, and extensive experience with distributed training and large-scale model deployment.
- Demonstrated technical impact: You have a Master's degree in Computer Vision, Machine Learning, Robotics, or a related field, or equivalent industry experience in model development and scaling.
- Expert domain knowledge: You have built and deployed generative or predictive models of the physical world, focusing on scale, efficiency, and robustness for real-world applications.
- Team player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects in a fast-paced environment.
Bonus:
- Experience with infrastructure and tooling for large-scale ML training (e.g., cloud platforms, Kubeflow, Ray).
- Experience with efficient model serving and deployment (e.g., ONNX, TensorRT).
- Publications or research at top ML/CV/Robotics conference (e.g., CVPR, ECCV, NeurIPS)
The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/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.
- As we grow, this list continues to evolve!
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
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