Senior Applied Research Scientist

What you'll do

• Research and design multimodal search and curation systems for video, lidar, radar, and text data.
• Develop embedding-based retrieval, quality scoring models, and active learning loops for Physical AI.
• Create datasets, benchmarks, and experimental frameworks to establish data curation guidelines for robotics and autonomous vehicles.
• Translate research findings into production-grade software and scalable systems.
• Write technical papers, blog posts, and documentation to help customers apply data curation methods.
• Publish research findings to the broader AI community to share new methodologies and guidelines.
• Monitor and integrate the latest advancements in information retrieval and multimodal learning into team projects.

What we're looking for

• M.S. or Ph.D. in machine learning, information retrieval, robotics, AV, or multimodal AI (or equivalent experience).
• 8+ years of industry or research experience.
• Deep understanding of the data challenges specific to Physical AI.
• Strong software engineering fundamentals with experience shipping production-grade systems.
• Clear and compelling communication skills for writing papers and explaining technical tradeoffs.
• Experience mentoring junior researchers or engineers (preferred).
• Hands-on experience with data curation or search in robotics, autonomous vehicles, or embodied AI (preferred).
• Publications in top venues on data-centric AI, information retrieval, or multimodal learning (preferred).