Principal Scientist, Machine Learning

Architect and own the vision for a novel enterprise AI platform that fuses multi-agent frameworks with a multimodal knowledge core.
Design end-to-end architecture—from scalable data ingestion and distributed knowledge graphs to agentic reasoning and generative output layers.
Direct the execution and delivery of core ML systems, making critical technology and protocol decisions while aligning with the architectural vision.
Stay hands-on with core components, including knowledge core design, agent-to-agent communication, and human-in-the-loop feedback mechanisms.
Drive the research roadmap by integrating active learning, preference learning, multimodal reasoning, and RLHF to advance LLM-based workflows.
Build, mentor, and grow a world-class team of engineers and researchers, fostering technical excellence and collaborative innovation.