AI Technical Recruiter

Output has built a biological reasoning model that understands biology at the scale and complexity life actually operates. Our model independently learned the principles of molecular interactions, opening up drug treatments that were previously impossible. We're already generating therapies that traditional approaches cannot reach. The hardest problems in both AI and biology are being solved here, and there is room for you to own one.

Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator.

You will build Output's team. This is a full-cycle recruiting role covering every hire from AI research scientists to computational biologists to drug discovery leads. You need to understand both the AI/ML research community and the biotech talent landscape well enough to source, screen, and close candidates who work at the intersection of the two.

You will own end-to-end recruiting across all roles: sourcing, outreach, screening, managing interview loops, and closing

You will build and maintain a candidate pipeline through proactive sourcing, networking, and long-term relationship building with researchers and scientists in AI, biology, and drug discovery

You will conduct first-round screening interviews, evaluating candidates with enough technical fluency to distinguish real depth from surface familiarity in AI/ML and computational biology

You will design and continuously improve screening frameworks and interview processes, ensuring Output identifies exceptional talent efficiently and consistently

You will represent Output at key venues including AI conferences (NeurIPS, ICML, ICLR) and biotech events, building relationships with researchers, PhD students, and postdocs

You will partner with the founders and hiring managers to define roles, set hiring strategy, and ensure every candidate experiences a rigorous and human process

You will own and maintain the ATS, keeping pipeline data clean and using it to track progress, identify bottlenecks, and improve workflows

You will manage the process through to offer: structuring competitive compensation packages, presenting offers to candidates, and handling negotiations on equity, salary, and terms

You have 3+ years of full-cycle technical recruiting experience with a meaningful focus on AI/ML, research, or engineering roles

You have a track record of sourcing and closing niche technical talent in highly competitive markets

You have enough technical fluency in AI/ML to screen research candidates credibly: you understand the difference between someone who has trained models and someone who has used APIs, and you can assess publication records and research depth

You are comfortable building proactive sourcing strategies and cultivating long-term candidate relationships, not just filling open roles

You have familiarity with the AI/ML research community: key conferences, top labs, publication venues, and how researchers evaluate opportunities

You have strong interpersonal skills and the ability to build trust with researchers and scientists who are skeptical of recruiting outreach

You have working knowledge of startup compensation structures, including equity, vesting, and how to position offers competitively against well-funded AI labs

You are comfortable working in a stealth environment where you cannot rely on brand recognition and must sell on substance

• You have experience recruiting in biotech, drug discovery, or computational biology in addition to AI/ML
• You have experience as the first or early recruiter at a startup, building processes from scratch
• You have experience with ATS platforms (Ashby, Greenhouse, or similar)
• You…