Research Scientist, World Models

Waabi; Toronto; Presencial; CAD 140.000 - 210.000; Jornada completa

Descripción de la vacante

Waabi, a leader in Physical AI, seeks a Research Scientist in World Models to build scalable world-models for temporal reasoning, video generation, and multimodal scene understanding. You will prototype at scale, collaborate with researchers and engineers, and publish impactful results that influence Waabi World’s simulation and planning stacks.

Ideal candidates hold a PhD in a related field, expert Python & PyTorch (or JAX) skills, and strong experience in distributed training and real-world

Formación

• PhD or equivalent research experience in a relevant technical field.
• Expert-level Python & PyTorch (or JAX) skills with strong software-engineering fundamentals and distributed-training experience.
• Expert domain knowledge in generative or predictive models of the physical world for real-world applications.
• Strong communication skills and ability to work in a close-knit research team.

Responsabilidades

• Conduct fundamental and applied research in generative and predictive world-modeling.
• Video generation and prediction.
• Latent diffusion / autoregressive / flow-matching models.
• Multimodal foundation models for driving scenes.
• LLM / VLM / VLA methods for scene understanding and control.
• Collaborate with engineers to integrate models into large-scale distributed pipelines.
• Publish high-impact research at top conferences.
• Mentor junior scientists and interns; foster rigor and rapid experimentation.
• Stay on top of advances in generative AI and robotics.

Conocimientos

Python

PyTorch

Distributed training

Team collaboration

Educación

PhD in Computer Vision, ML, Robotics, or related field

Herramientas

JAX

Descripción del empleo

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 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…

• Conduct fundamental and applied research in generative and predictive world-modeling
• 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.

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, diffusion, flow-matching, or foundation models for autonomy.