Research Scientist, Post-Training — Video Generation
US remote$185k - $400kFull-timePosted 3mo ago
About the role
Research Scientist role focusing on RL post-training and generative modeling for large-scale video generation, including RL alignment, reward models, and post-training evaluation for real-time multimodal video platforms.
Responsibilities
- Run RL post-training (preference optimization, online RL against learned rewards) for video diffusion/flow-matching models at multi-node scale.
- Build video reward models: define target evaluation dimensions, design/configure preference data collection workflows, train and validate learned judges, and safeguard against reward hacking.
- Own post-training evaluation, including human preference studies and their correlation with automated metrics.
- Distill RL-tuned models to efficient few-step samplers while preserving alignment gains (secondary focus).
Qualifications
- 2+ years hands-on research experience in post-training or generative modeling.
- RL or preference-optimization experience on generative models with evidence of model improvement.
- Strong grounding in diffusion or flow-matching models, PyTorch, and multi-node distributed training.
Skills
Required:RL post-trainingGenerative modelingPyTorch
Nice to have:Reward modelingDistillationVideo-specific failure modes
Benefits
- Competitive salary and substantial equity in a high-growth startup
- Full health benefits + 401k matching and more
- Collaborative, mission-driven team environment with significant growth opportunities
- Flexible on-site/remote hybrid (HQ in Palo Alto, CA)
Last updated Sep 27, 2026. Interested? Apply on the company site.
About Pika
The idea-to-video platform that sets your creativity in motion.
The idea-to-video platform that sets your creativity in motion.
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