Senior Applied Research Scientist
Core
Designing multimodal search and curation systems for Physical AI data (video, lidar, radar, text) to train foundation models for robots and autonomous vehicles.
Role type
Senior Applied Research Scientist (Physical AI)
Builds
Multimodal search/curation systems, datasets, benchmarks, and experimental frameworks for robotics and AV.
Domain
Physical AI, Robotics, Autonomous Vehicles, Multimodal Learning
Deliverable
production ML models
Required skills
Multimodal AI, Information Retrieval, Data Curation, Embedding-based Retrieval, Active Learning, Software Engineering, Research Publication
Preferred skills
Robotics/AV data experience, Model training pipelines, Large-scale video data processing, Semantic/Neural search, Top-tier publications
Technologies
Video, Lidar, Radar, Text, Embeddings, Active Learning, Dense Retrieval, CLIP-style embeddings
Responsibilities
Research and design multimodal search systems; Develop datasets and benchmarks; Translate research into production software; Publish findings and documentation.
Seniority
Senior, hands-on IC
