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    PI

    Pika

    Technology

    Research Scientist, Foundation Model (Video Generation)

    Palo Alto, United StatesOn-SiteFull-time2+ yrs experience$185k – $400k / yearPosted 1mo ago
    All Pika jobs

    Job description

    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 efficient few-step samplers while preserving alignment gains (secondary focus).

    What We’re Looking For

    Required

    • 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.

    Preferred

    • Experience developing reward models for visual generation, including VLM-as-judge or large-scale preference data collection.

    • Distillation expertise (distribution matching, consistency, adversarial approaches), ideally for video models.

    • Familiarity with video-specific failure modes: temporal drift, motion and physics realism.

    What We Offer

    • 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)

    About Pika

    Pika empowers creators by building state-of-the-art agentic and multimedia platforms. Our vision is to break down technical barriers to creativity, making real-time generative and intelligent orchestration accessible to all. Join us to shape the next evolution of creative technology!

    If you are passionate about advancing RL alignment and generative modeling for video, and want to scale real-time multimodal foundation models, we want to hear from you.

    Job details are sourced from the employer's original posting.

    Open job posting
    PI

    About the company

    Pika

    Pika is an AI company developing advanced tools for visual effects and character replacement, leveraging foundation models for seamless integration into production.

    View all Pika jobs
    Industry
    Technology
    Founded
    2023
    Open roles
    14

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