Multimodal LLM Researcher (MLLM)

Mellis Inc

  • Palo Alto, CA
  • 30+ days ago

    Highlights

    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. 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.

    Numbers & Facts

    LocationPalo Alto, CA

    Description

    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.

    What You'll Do

    • 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

    What We're Looking For

    • 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

    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 major 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 and shape the next evolution of creative technology!

    If you are a leading researcher excited by real-time multimodal AI and agentic platforms, we want to hear from you.

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