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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 (L
Key Responsibilities
- 1Lead 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
- 2Design and prototype novel algorithms and architectures for high-fidelity, real-time multimodal synthesis and interactive experiences
- 3Focus on real-time aspects of model inference and synthesis across modalities
- 4Work on diffusion model distillation and/or develop diffusion-based world models for multimodal applications
- 5Train and finetune autoregressive and diffusion models in LLM, VLM, or Audio LM contexts with a focus on real-time performance
- 6Curate specific datasets, especially for video, audio, cross-modal, and sensory-rich data
- 7Collaborate with cross-functional teams to bring research advancements into production-ready technologies
- 8Publish work in top-tier conferences and journals; communicate research results internally and externally
- 9Stay 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, ICML, ICLR, frontier research background)
- 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
Perks & Benefits
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