Research Scientist, World Models

Waabi Innovation Inc.; San Francisco (CA); On-site; USD 155,000 - 269,000; Full time

Job summary

A leading AI company seeks a Research Scientist specializing in World Models. You will contribute to the development of advanced algorithms for simulating complex driving environments using cutting-edge generative modeling techniques. The role includes collaboration with engineers, publication opportunities at prestigious conferences, and mentoring junior team members.

Benefits

Competitive compensation and equity awards.

Health and Wellness benefits encompassing Medical, Dental and Vision coverage.

Unlimited Vacation.

Flexible hours and Work from Home support.

Daily drinks, snacks and catered meals.

Regularly scheduled team building activities and social events.

Qualifications

• Expert-level Python & PyTorch skills required.
• Strong software engineering fundamentals necessary.
• Experience with distributed training is preferred.

Responsibilities

• Conduct research in generative and predictive world-modeling on driving scenes.
• Collaborate with engineers to integrate models into training pipelines.
• Publish research at top conferences.

Skills

Python

PyTorch

Generative modeling

Predictive modeling

Team collaboration

Education

Ph.D. in Computer Vision, Machine Learning, Robotics

Job description

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Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem.

With offices in Toronto, San Francisco, and Dallas, 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 Simulation model s that can reason about complex, dynamic 4D environments with minimal supervision. Your work will directly power Waabi World’s ability to comprehend the 4D physical world, simulate traffic participants and generate realistic safety-critical scenarios at scale.

You will…

• Conduct fundamental and applied research in generative and predictive world-modeling (e.g., latent diffusion, video generation models, 3D Gaussian splatting, NeRF) on multi-sensor multi-modal data of driving scenes.
• Collaborate with simulation 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.
  
  

Qualifications:

• Demonstrated 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.
  
  

Bonus:

• 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, NeRF/3DGS, diffusion, flow-matching, or foundation models for autonomy.
  
  

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

• Industries

  Motor Vehicle Manufacturing, Software Development, and Technology, Information and Internet

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