Multimodal ML Researcher for Physical-World Systems

STRATOS Search; Palo Alto (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

STRATOS Search in California is seeking an experienced ML researcher to help build multimodal foundation models that fuse time-series sensor data with language, vision, and audio. You will guide problem formulation, experimental design, model development, evaluation, and deployment, working end-to-end on real-world industrial systems.

You will own modeling across data, modeling, and evaluation; advance architectures and training strategies for physical-world understanding and long-context

Job description

STRATOS Search in California is seeking an experienced ML researcher to help build multimodal foundation models that fuse time-series sensor data with language, vision, and audio. You will guide problem formulation, experimental design, model development, evaluation, and deployment, working end-to-end on real-world industrial systems.

You will own modeling across data, modeling, and evaluation; advance architectures and training strategies for physical-world understanding and long-context