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Staff Technical Recruiter

Menlo Ventures

Location San Mateo, CA Employment Type Full time Location Type Hybrid Department G&A Genesis Molecular AI is pioneering the use of AI and biophysics to transform drug discovery. Backed by leading investors such as a16z, NVIDIA (via NVentures) and Radical Ventures, we are growing thoughtfully and deliberately to build one of the most talented research and engineering teams in the world. We are seeking a Staff Technical Recruiter to own full-cycle hiring for our AI/ML research and engineering organization. This is a high-impact individual contributor role working with our Head of Recruiting and technical leadership to bring exceptional talent into Genesis. What You'll Do Own searches end-to-end across AI/ML research and engineering, from sourcing and outreach through offer and close Build deep knowledge of our technical roles and the competitive talent landscape to move quickly and effectively on top candidates Design and run our intern and new graduate hiring programs, including university partnerships, research lab relationships, and on-campus recruiting: build a repeatable, scalable process that consistently converts early career talent into future full-time hires Proactively map and continuously engage the global pool of top AI/ML researchers and engineers relevant to our domain, and cultivate long-term relationships so Genesis is top of mind when exceptional researchers consider their next move Represent Genesis at key venues (e.g. NeurIPS, ICML, ICLR) and build sustained relationships with faculty, PhD students, and postdocs at top research universities Champion an outstanding candidate experience throughout the process. Close candidates with the right balance of transparency, enthusiasm, and persistence. Track pipeline health and recruiting metrics in Ashby. Identify bottlenecks and continuously improve your own workflows for efficiency and impact. What You Bring 5+ years of full-cycle technical recruiting experience, with a meaningful focus on AI/ML or research roles A track record of sourcing and closing niche technical talent in competitive markets Experience running or contributing to university/early career programs, including internship pipelines Comfort building proactive sourcing strategies and maintaining long-term candidate relationships, not just reactive hiring Familiarity with the AI/ML research community: key conferences, institutions, labs, and publication venues Data fluency and experience with modern ATS tools (Ashby experience a plus) Comfortable owning projects end-to-end, from initial concept through execution, while staying adaptable when priorities change quickly Strong interpersonal skills and the ability to build trust with researchers and engineers who are skeptical of recruiting processes Biotech background not required: curiosity and fast learning are highly valued What We Offer Competitive compensation package including salary and equity Comprehensive health benefits: Medical, Dental, and Vision (covered 100% for employees) 401(k) plan Open (unlimited) PTO policy Paid family leave (maternity and paternity) Life and long- and short-term disability insurance About Genesis Molecular AI Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. The company’s generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction. Genesis has raised over $300 million from leading AI, tech and life science-focused investors, signed multiple AI-focused research collaborations with major pharma partners, and is deploying GEMS to advance an internal therapeutics pipeline for a variety of high-impact targets. Genesis is headquartered in San Mateo, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer. #J-18808-Ljbffr

Vacancy posted 3 days ago
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