Research Scientist, Post-Training — Video Generation

ABOUT THE ROLE At Pika, we are pioneering the next generation of creative infrastructure built around real-time, multimodal generation and intelligent agentic platforms. We are seeking Research Scientists with expertise in RL post-training and generative modeling for large-scale video generation. The focus is on refining Pika's video generation models using RL alignment and building robust video reward models. This is a staff and lead-level opportunity.   As a key member of our research team, you will own RL-based post-training for video diffusion/flow-matching models, develop state-of-the-art reward models, and lead post-training evaluation across human and automated metrics. You will collaborate closely with engineering and product teams, shaping the frontier of real-time creative and agentic video platforms.   SCOPE - RL alignment of Pika's video generation models and the reward models that drive them. - Distillation of RL-tuned models is a secondary focus.   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 e…