Research Scientist or Engineer, Analysis

Who we areAt TwelveLabs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media.With a $110+ million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation.Our partnership with NVIDIA and AWS gives us access to the most advanced chips, including B300s, enabling us to push the boundaries of what's possible in video AI.We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI.About the TeamThe Analysis team sits at the core of TwelveLabs’ video understanding capabilities and is responsible for driving Pegasus, our Video Analysis product. Our focus is on developing multimodal video analysis systems that are designed for high instruction following capability and producing highly complex, hierarchically structured outputs. We focus on shipping products with real-world value rather than doing research in isolation, and we work very closely with ML Engineers in a goal-oriented, cross-functional team.Our research covers a broad range of challenges: large-scale distributed training of multi-modal LLMs that span from pre-training to RL, accurate temporal segmentation and structured metadata extraction for real-world use cases, extending temporal context length to multiple hours, and data curation processes that enable well-aligned evaluation and performance improvements through training data enhancements.Our research team has access to the most advanced chips in the world, including NVIDIA B300s, to push the boundaries of video analysis systems—accelerating our research-to-production cycle as fast as possible.About the RoleThis position spans two tracks—Research Scientist and Research Engineer—determined by your strengths and interests. These roles exist on a spectrum rather than as discrete categories; both contribute to research and implementation.As a Research Scientist, you will define research problems, formulate hypotheses, and run experiments that push the boundaries of what’s possible in video analysis. You’ll design data curation processes that accurately translate real-world use cases into tangible evaluation methods. You’ll improve the performance of our Video Analysis system through data-centric approaches and architecture exploration, supported by rigorous ablation studies.As a Research Engineer, you will translate research ideas into stable, reproducible systems. You’ll help scale the data curation process for both evaluation and training by building research infrastructure and collaborating with data engineers. You’ll design and optimize training pipelines for large-scale distributed environments and ensure our models perform reliably in production.In both roles, you will communicate key findings to the team and help shape our strategic direction. You’ll take end-to-end ownership of the Video Analysis product and collaborate closely with ML Engineers to ensure research results are delivered with real-world impact.You might be a great fit if you haveWe’re looking for candidates with research experience in ... (truncated, view full listing at source)