Waabi
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Research Scientist, World Models
role at
Waabi .
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.
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.
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 models
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.
What You’ll Do
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.
Salaries & Benefits
US yearly salary range: $155,000 - $269,000 USD plus competitive perks & benefits.
Equity incentive awards and an annual performance bonus.
Competitive compensation and equity awards.
Health and Wellness benefits covering Medical, Dental and Vision for full‑time employees.
Unlimited Vacation; flexible hours and Work from Home support.
Daily drinks, snacks and catered meals (when in office).
Regular team‑building activities and social events both on‑site, off‑site & virtually.
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!
EEO Statement Waabi is an equal‑opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all 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. 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.
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Research Scientist, World Models
role at
Waabi .
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.
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.
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 models
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.
What You’ll Do
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.
Salaries & Benefits
US yearly salary range: $155,000 - $269,000 USD plus competitive perks & benefits.
Equity incentive awards and an annual performance bonus.
Competitive compensation and equity awards.
Health and Wellness benefits covering Medical, Dental and Vision for full‑time employees.
Unlimited Vacation; flexible hours and Work from Home support.
Daily drinks, snacks and catered meals (when in office).
Regular team‑building activities and social events both on‑site, off‑site & virtually.
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!
EEO Statement Waabi is an equal‑opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all 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. 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.
#J-18808-Ljbffr