Responsibilities
- Explore workflow‑aware planning, cost‑optimised RAG, tool‑use evaluation, and multi‑agent collaboration.
- Prototype and benchmark models; present findings internally and externally.
- Collaborate with Product & Engineering to ship research‑backed features.
- Contribute to open‑source repos and author technical blogs.
Requirements
- MS/PhD in Computer Science, ML, or related field—or equivalent experience.
- Hands‑on with PyTorch/JAX and modern LLM frameworks.
- Strong publication record in top-tier ML venues (NeurIPS, ICML, ICLR) or demonstrable impactful experimental work; hands‑on experience with large‑scale model training, transformer architectures, reinforcement‑learning techniques, and CUDA.
Additional Information
- REQ ID: 2124
