Research Scientist, Video Foundation Models
California$200k - $320kFull-timePosted 1mo ago
About the role
Research Scientist focused on developing next-generation native video and omni foundation models for multimodal generation and understanding, spanning pre-training, continued training, and post-training for high-quality, controllable, consistent, and efficient generation across full model lifecycle.
Responsibilities
- Research, develop, and scale native video and multimodal foundation models, from early prototypes through large-scale pre-training, continued training, and post-training.
- Explore new model architectures, training objectives, and conditioning mechanisms for video generation, reference- and memory-based generation, multimodal interaction, and joint audio-video generation.
- Build and improve large-scale data curation, distributed training, evaluation, and post-training pipelines for high-quality and controllable generation.
- Design systematic experiments to understand model scaling, generation quality, controllability, consistency, robustness, and inference efficiency.
- Collaborate closely with researchers, engineers, and product teams to help shape the technical roadmap and, where appropriate, translate model advances into real-world capabilities.
- Contribute to research publications and open-source releases when appropriate.
Qualifications
- Strong research and engineering experience in generative modeling, including diffusion models, flow matching, DiTs, video generation, multimodal models, world models, or related fields.
- Hands-on experience training and evaluating large-scale image, video, or unified multimodal models using modern deep learning frameworks and distributed training systems.
- A strong track record of developing impactful models or systems, demonstrated through research publications, open-source contributions, production impact, or other significant technical work.
- Ability to independently own ambiguous research problems, move effectively from ideas to experiments, and work well in a highly collaborative environment.
- Specialized depth in one or more areas across the foundation model lifecycle, such as model architecture, data curation, controllable generation, multimodal understanding and conditioning, post-training and reward modeling, model acceleration, inference systems, or deployment.
Skills
Required:Generative modelingLarge-scale model training
Benefits
- Competitive salary and generous company equity
- Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina
- 42 days of paid time off, including: 15 PTO days, 10 sick days, 15 company holidays, 2 floating holidays
- Generous parental leave & fertility support
- 401(k) retirement savings plan
- Lifestyle spending account – $500/month to use however you’d like
- Complimentary lunch and snacks for in-office employees
- One Medical membership, and more!
Last updated Sep 23, 2026. Interested? Apply on the company site.
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