AI Technical Recruiter
Output Biosciences · San Francisco, CA · 1 mo ago
On-siteHuman ResourcesFull-time
About the role
This is a full-cycle recruiting role covering every hire from AI research scientists to computational biologists to drug discovery leads. You will build Output's team.
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.
Responsibilities
- 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
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: understanding the difference between someone who has trained models and someone who has used APIs, and assessing publication records and research depth
- 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
- Familiarity with startup compensation structures, including equity, vesting, and how to position offers competitively against well-funded AI labs
- Experience recruiting in biotech, drug discovery, or computational biology in addition to AI/ML (a plus)
- Experience as the first or early recruiter at a startup, building processes from scratch (a plus)
- Experience with ATS platforms (Ashby, Greenhouse, or similar) (a plus)
- Experience building university partnerships or intern/new-grad pipelines (a plus)
Qualifications
- Scientific or technical background that gives you deeper candidate assessment ability
Skills
- Strong communication and interpersonal skills
- Ability to build and maintain long-term candidate relationships
- Experience with AI/ML research and applications
- Understanding of biotech and drug discovery processes
- Experience with ATS platforms
- Experience with university partnerships or intern/new-grad pipelines
Benefits
Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you
Competitive salary and equity in a growing, well-funded startup
Excellent medical, dental, and vision coverage
Pay
Competitive salary and equity in a growing, well-funded startup
Schedule
Full-time