AI Technical Recruiter

Output Biosciences•New York, NY

4d•Remote

About The Position

Output is building 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.

Requirements

3+ years of full-cycle technical recruiting experience with a meaningful focus on AI/ML, research, or engineering roles
A track record of sourcing and closing niche technical talent in highly competitive markets
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
Comfortable building proactive sourcing strategies and cultivating long-term candidate relationships, not just filling open roles
Familiarity with the AI/ML research community: key conferences, top labs, publication venues, and how researchers evaluate opportunities
Strong interpersonal skills and the ability to build trust with researchers and scientists who are skeptical of recruiting outreach
Working knowledge of startup compensation structures, including equity, vesting, and how to position offers competitively against well-funded AI labs
Comfortable working in a stealth environment where you cannot rely on brand recognition and must sell on substance

Nice To Haves

Experience recruiting in biotech, drug discovery, or computational biology in addition to AI/ML
Experience as the first or early recruiter at a startup, building processes from scratch
Experience with ATS platforms (Ashby, Greenhouse, or similar)
Experience building university partnerships or intern/new-grad pipelines
A scientific or technical background that gives you deeper candidate assessment ability

Responsibilities

Own end-to-end recruiting across all roles: sourcing, outreach, screening, managing interview loops, and closing
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
Conduct first-round screening interviews, evaluating candidates with enough technical fluency to distinguish real depth from surface familiarity in AI/ML and computational biology
Design and continuously improve screening frameworks and interview processes, ensuring Output identifies exceptional talent efficiently and consistently
Represent Output at key venues including AI conferences (NeurIPS, ICML, ICLR) and biotech events, building relationships with researchers, PhD students, and postdocs
Partner with the founders and hiring managers to define roles, set hiring strategy, and ensure every candidate experiences a rigorous and human process
Own and maintain the ATS, keeping pipeline data clean and using it to track progress, identify bottlenecks, and improve workflows
Manage the process through to offer: structuring competitive compensation packages, presenting offers to candidates, and handling negotiations on equity, salary, and terms