Multimodal LLM Researcher (MLLM)

About the role

At Pika, we are pioneering next-generation creative infrastructure built around real-time, multimodal generation and intelligent, agentic platforms. We are seeking accomplished Multimodal LLM Researchers (LLM, VLM, and Audio LM) to drive forward our mission to make agentic real-time generative technology accessible, dynamic, and transformative for millions of creators. As a core member of our research team, you will be integral to designing and building foundational technologies, developing novel approaches for large multimodal language models (LLMs/VLMs/Audio LMs), and orchestrating intelligent agentic systems that power scalable, interactive multimedia experiences. You will collaborate closely with engineering and product teams, shaping the future of real-time creative platforms.

Responsibilities

• Lead and contribute to research efforts focused on real-time, multimodal generation-including text, image, video, and audio synthesis-as well as orchestration of agentic platform infrastructure
• Design and prototype novel algorithms and architectures for high-fidelity, real-time multimodal synthesis and interactive experiences
• Focus on real-time aspects of model inference and synthesis across modalities
• Work on diffusion model distillation and/or develop diffusion-based world models for multimodal applications
• Train and finetune autoregressive and diffusion models in LLM, VLM, or Audio LM contexts with a focus on real-time performance
• Curate specific datasets, especially for video, audio, cross-modal, and sensory-rich data
• Collaborate with cross-functional teams to bring research advancements into production-ready technologies
• Publish work in top-tier conferences and journals; communicate research results internally and externally
• Stay at the cutting edge of real-time multimodal generative AI and agentic orchestration

Requirements

• 5+ years of relevant experience, including research during graduate studies, in large language models, vision-language models, audio language models, deep learning, or related fields
• Demonstrated impact as first author on major publications in top conferences or journals (e.g., NeurIPS, CVPR, ICML, ICCV, SIGGRAPH, Interspeech, etc.)
• Deep expertise in at least one area: language modeling (LLM), vision-language modeling (VLM), or audio language modeling (Audio LM)
• Strong experience with generative models, including autoregressive and diffusion models, and their real-time deployment
• Hands-on experience curating, constructing, or augmenting large, high-quality multimodal datasets
• Experience developing and deploying real-time systems and/or agentic orchestration infrastructure
• Strong programming and prototyping skills (Python, PyTorch, TensorFlow, etc.)
• Passion for building creative tools and platforms that empower users
• Excellent communication and collaboration skills

Benefits

Additional Information

Multimodal LLM Researcher (MLLM)

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