Research Scientist, World Models

Waabi

Toronto, ON, Canada
On-site
Ph.d. in computer vision or machine learning
Expert-level python and pytorch skills
Experience with distributed training pipelines
This role focuses on developing algorithms for large-scale world models that reason about complex, dynamic 4D environments

Job Summary

  • This role focuses on developing algorithms for large-scale world models that reason about complex, dynamic 4D environments.
  • You will directly power Waabi World's ability to model future evolution and synthesize realistic safety-critical scenarios.
  • The successful candidate will publish high-impact research at top conferences such as CVPR, NeurIPS, and ICRA.

Matching Summary

This role focuses on developing algorithms for large-scale world models that reason about complex, dynamic 4D environments.

Skills & Requirements

Must-have

  • Ph.D. in Computer Vision or Machine Learning
  • Expert-level Python and PyTorch skills
  • Experience with distributed training pipelines
  • Generative or predictive model development
  • Video generation and prediction expertise

Nice-to-have

  • First-author publications in top-tier venues
  • Ability to translate research into production code
  • Mentoring junior scientists and interns
  • Collaboration with engineers on integration
  • Knowledge of differentiable rendering techniques

Key Requirements

  • Ph.D. in Computer Vision, Machine Learning, Robotics, or related field
  • Equivalent research experience pushing technical boundaries
  • Strong software engineering fundamentals
  • Expertise in latent diffusion, autoregressive, or flow-matching models

Work Rights

Not specified

Tailored Resume

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