Research Scientist, World Models
- Toronto, ON, Canada
$155,000 to $269,000 USD / year · Full-time
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Job details
- Pay
- $155,000 to $269,000 USD / year
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
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 aims to deliver realistic, scalable, controllable, and efficient simulation. As a Research Scientist in World Models, 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…
- 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 with engineers to integrate models into large-scale, distributed training and rendering pipelines.
- Publish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH).
- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.
- Stay on top of emerging advances in generative AI, differentiable rendering, knowledge distillation/compression, and robotics.
- D emonstrated technical innovation: You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field..
- Strong prototyping and implementation: You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training.
- Expert domain knowledge: You have built generative or predictive models of the physical world with scale and efficiency in mind 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.
- Proven ability to translate research into production-quality code and measurable product impact.
- Demonstrated publications (first-author) in top-tier venues on topics such as world models, generative simulation, video prediction, diffusion, flow-matching, or foundation models for autonomy.
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 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
More about this job
Responsibilities
Conduct research and develop scalable generative and predictive world models for temporal reasoning, video generation, multimodal driving-scene understanding, and controllable simulation. Integrate models into distributed training and rendering pipelines, publish research, mentor junior researchers, and track advances in generative AI and robotics.
Requirements
A PhD in Computer Vision, Machine Learning, Robotics, or a related field - or equivalent research experience - is required, along with expert Python and PyTorch or JAX skills and strong software engineering and distributed-training experience. Candidates should have experience building efficient generative or predictive models of the physical world and collaborating effectively with research and engineering teams; top-tier publications and production impact are bonuses.
Skills
- Python
- PyTorch
- JAX
- Generative Modeling
- Predictive Modeling
- World Models
- Video Generation and Prediction
- Diffusion Models
- Autoregressive Models
- Flow Matching
- Multimodal Foundation Models
- LLM/VLM/VLA Methods
- Distributed Training
- Model Distillation
- Differentiable Rendering
- Robotics
Benefits
- Competitive Compensation
- Equity Awards
- Medical Coverage
- Dental Coverage
- Vision Coverage
- Unlimited Vacation
- Flexible Hours
- Work From Home Support
- Drinks, Snacks, and Catered Meals
- Team-Building Activities and Social Events
Visa sponsorship
Not detected in the job text
Categories
- Science & Research
- Technology
- Software
- Transportation
- Engineering
Keywords
- Physical AI
- Autonomous Driving
- World Models
- Simulation
- Temporal Reasoning
- Video Generation
- Video Prediction
- Latent Diffusion
- Autoregressive Models
- Flow Matching
- Multimodal Generative Models
- Large Language Models
- Vision-Language Models
- Vision-Language-Action Models
- Traffic Participants
- Generative Scenario Modeling
- Controllable Simulation
- Model Distillation
- Distributed Training
- Rendering Pipelines
- Differentiable Rendering
- Knowledge Distillation
- Model Compression
- Robotics
- Python
- PyTorch
- JAX
- Computer Vision
- Machine Learning
- Safety-Critical Scenarios