Teams at Skyfall AI

Conduct research to advance agentic systems by developing methods for planning, reasoning, and reinforcement learning with LLMs and multi-agent systems. Design experiments, build datasets, and stay current with academic advances to improve LLM performance in complex workflows.

Manage LLM-focused research projects: translate research goals into roadmaps, coordinate PhD researchers and research engineers, oversee data curation, experiment protocols, benchmarking, budgets, risk mitigation, documentation, and external academic/industry collaborations to drive publications and product integration.

Develop tools and infrastructure for training language models in interactive environments, implement novel methods in language modeling, reinforcement learning and multi-agent systems, and contribute to publications and open-source projects.