Full-cycle technical recruiter responsible for sourcing, screening, and closing AI/ML and computational biology talent. Build candidate pipelines, run first-round technical screens, design interview frameworks, manage ATS data, represent the company at conferences, and partner with founders on hiring strategy and offers including salary and equity negotiations.

This internship involves developing machine learning approaches for biological data, designing experiments, collaborating on research, and presenting findings.

Build and own agent orchestration, inference serving, APIs, and internal tools that turn model capabilities into multi-step workflows. Implement skills/tools for automated and interactive workflows, optimize inference for latency and throughput, integrate models into products, and establish engineering practices like testing, CI/CD, and observability.