- Research and applied work in LLM reasoning, planning, tool use, agentic LLMs, and related topics
- Work on the next generation of LLM and VLM architectures and reasoning models
Qualifications
Ph.D. in CS or related fields
Quality publications in LLM Reasoning and Planning (e.g., NeurIPS, ICML, ICLR, etc)
Expert in PyTorch/Python programming
Experience with Large-scale model training/tuning
Preferred Qualifications
Experience in tool use, agentic LLMs, RAG
Experience with processing multiple modalities (i.e., audio/vision) with Foundational Models.
Experience with efficient inference, HW/SW co-design, performance optimization