Research Scientist focusing on developing algorithms and productionizing World Models at Waabi. Join a startup pioneering autonomous transportation technology with a world-class team.
Responsibilities
Conduct fundamental and applied research in generative and predictive world-modeling
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.
Requirements
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.
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.
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