Flagship Pioneering
Senior Machine Learning Recruiter
Flagship Pioneering - Cambridge, Massachusetts, us, 02140
Work at Flagship Pioneering
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Overview
About Lila
Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at
www.lila.ai If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, we encourage you to apply. Your Impact at Lila You will drive full-cycle recruitment of top-tier machine learning researchers and engineers — competing for candidates from leading academic institutions and frontier labs worldwide — to accelerate Lila’s AI-driven discovery platform. ️
What You’ll Be Building Sourcing and placing ML researchers across subfields (LLM, RL, Generative AI) Building and maintaining global candidate pipelines Designing role-specific interview frameworks and technical assessments Partnering with R&D leadership on talent planning and market insights Optimizing candidate experience: feedback loops, offers, and closing strategies Analyzing recruiting metrics (time-to-fill, slates, source efficacy) What You’ll Need to Succeed Bachelor’s or Master’s in CS, Engineering, or related; PhD a plus 3–5+ years’ experience recruiting ML/AI research talent Strong network in the ML research community (NeurIPS, ICML, etc.) Proven ability to attract passive candidates at top labs and tech companies Excellent negotiation, communication, and stakeholder-management skills Bonus Points For International recruiting experience across multiple regions Familiarity with ML frameworks or research publications Experience on compensation benchmarking for technical roles We’re All In Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. A Note to Agencies Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
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www.lila.ai If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, we encourage you to apply. Your Impact at Lila You will drive full-cycle recruitment of top-tier machine learning researchers and engineers — competing for candidates from leading academic institutions and frontier labs worldwide — to accelerate Lila’s AI-driven discovery platform. ️
What You’ll Be Building Sourcing and placing ML researchers across subfields (LLM, RL, Generative AI) Building and maintaining global candidate pipelines Designing role-specific interview frameworks and technical assessments Partnering with R&D leadership on talent planning and market insights Optimizing candidate experience: feedback loops, offers, and closing strategies Analyzing recruiting metrics (time-to-fill, slates, source efficacy) What You’ll Need to Succeed Bachelor’s or Master’s in CS, Engineering, or related; PhD a plus 3–5+ years’ experience recruiting ML/AI research talent Strong network in the ML research community (NeurIPS, ICML, etc.) Proven ability to attract passive candidates at top labs and tech companies Excellent negotiation, communication, and stakeholder-management skills Bonus Points For International recruiting experience across multiple regions Familiarity with ML frameworks or research publications Experience on compensation benchmarking for technical roles We’re All In Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. A Note to Agencies Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
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