Researcher - Efficient Architecture for LLMs

Propose and develop novel research ideas to advance the state of the art in large language models (LLMs).

Participate in applied research projects focused on enabling long-context LLMs, including work on efficient architectures, data curation, and post-training methods.

Deliver end-to-end projects by designing and executing experiments, analyzing results, and presenting findings.

Publish research in top-tier machine learning and natural language processing (NLP) conferences.

Supervise and mentor a small group of researchers and engineers to deliver projects and publish conference papers.

Track advances across the LLM and AI ecosystem, translating new developments into actionable insights for the team.