Technical Recruiter, AI Research

Lila Sciences, Inc.; San Francisco (CA); Sur place; USD 150 000 - 190 000; Plein temps

Résumé du poste

Lila Sciences is hiring an AI Research Recruiter to partner with AI research and engineering teams, shaping hiring plans and building a strong ML talent network. You will own full-cycle recruiting for researchers and engineers, from intake to close, while elevating Lila’s presence in top AI forums and venues.

You will drive sourcing through research conferences, publications, and non-traditional channels, ensuring a bias-free, high-signal candidate slate with senior stakeholders.

Qualifications

• 5+ years of full-cycle recruiting in technical domains.
• Proven ability to attract passive AI/ML researchers.
• Strong understanding of ML research landscape and venues.
• Excellent negotiation and stakeholder-management skills.

Responsabilités

• Develop and execute strategic recruiting plans for AI/ML roles.
• Translate team needs into sourcing strategy and role calibration.
• Build a network of ML researchers through conferences and publications.
• Collaborate with leadership to map long-term AI/ML talent strategy.
• Refine recruiting processes to maintain high standards and reduce bias.
• Strengthen employer brand in ML research community.
• Keep pipelines clean with metrics and clear candidate communication.
• Stay current on sourcing techniques and interviewing innovations.

Connaissances

Full-cycle recruiting

ML/AI talent network

Negotiation & comms

Stakeholder management

Autonomy & prioritization

Description du poste

Your Impact at LILA

As an AI Research Recruiter at Lila Sciences, you will partner directly with our AI research and engineering teams to identify, engage, and hire the researchers and engineers building our AI-driven platform. This is a strategic, full-cycle role: you'll shape hiring plans with research leadership, build Lila's reputation in the AI research community, and go deep in high-signal technical channels to reach talent that isn't sitting on a job board.

What You'll Be Building

• Develop and execute strategic recruiting plans for AI/ML research and engineering roles, from hiring-manager intake through screen, interview loop management, offer strategy, and close.
• Partner with AI Research hiring managers and interview panels to translate team needs into sourcing strategy, candidate personas, and role calibration.
• Build and sustain a high-trust network of ML researchers and applied scientists across subfields (LLM, RL, Generative AI) through consistent relationship-building, community presence, and non-traditional discovery loops (research publications, GitHub, conferences, open-source).
• Partner with leadership and cross-functional stakeholders to map long-term AI/ML talent strategy and balance hiring priorities across research teams.
• Build and iterate on recruiting processes that maintain a high, consistent talent bar while actively removing bias from the hiring process.
• Strengthen Lila's employer brand within the ML research and scientific community - representing our mission, culture, and technical work to candidates with strong options elsewhere.
• Stay current on sourcing techniques, interview innovation, and AI/ML talent-market trends; bring new approaches back to the team.
• Maintain operational rigor: pipeline hygiene, recruiting metrics (time-to-fill, slate quality, source efficacy), and clear communication with candidates and hiring teams.

What You'll Need to Succeed

• 5+ years of full-cycle recruiting experience supporting technical research teams, with a track record of recruiting AI/ML research talent specifically.
• Strong existing network in the ML research community (NeurIPS, ICML, top CS/ML programs).
• Proven ability to attract passive candidates from leading academic institutions and frontier labs, and to scale a high-performing technical hiring function.
• Strong technical aptitude — comfortable understanding and evaluating ML/research qualifications alongside hiring teams.
• Excellent negotiation, communication, and stakeholder-management skills with senior technical leaders.
• Comfortable operating with autonomy and juggling shifting priorities in a fast-moving environment.

Bonus Points For

• Hands-on experience with agentic recruiting tools/workflows (automations, enrichment/triage helpers) to improve candidate discovery.
• Experience recruiting at a deep-tech or frontier AI research organization.
• International recruiting experience across multiple regions.

About LILA

Lila Sciences is building Scientific Superintelligence to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.

LILA combines advanced AI models with proprietary AI Science Factory instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.

Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance.

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.

Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.

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.