Teams at Apollo Research

Design, run, and automate pre-deployment evaluations of frontier AI models. Analyze large model transcripts to surface behaviors, build scalable evals, collaborate with AI labs, and improve evaluation pipelines and tooling.

Build and maintain backend tools for AGI safety research: eval libraries, orchestration for parallel agentic evaluations, LLM proxy and telemetry, CI optimizations, data warehousing, and researcher-facing tooling. Lead feature development, collaborate with researchers, and promote good software design and reliability.

Build and maintain full-stack features for an AI-agent safety product: responsive React front-ends, Python backends, REST APIs, scalable data pipelines, monitoring/observability, and secure integrations. Collaborate with researchers, participate in design and code reviews, and deliver production-ready tooling and visualizations for AI safety monitoring.