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Technical Recruiter, AI Research

Lila Sciences Open
Cambridge Mid-level Recruiting & Talent Acquisition

At a glance

Mid-level Recruiting & Talent Acquisition role at Lila Sciences. Cambridge · $160,000–$215,000 base.

SalaryStated by Lila Sciences
$160,000 – $215,000
Base salary for this role, in USD per year, as published in the posting.
RoleRecruiting & Talent Acquisition
SeniorityMid-level
LocationCambridge
Base pay$160,000–$215,000
PostedOct 22, 2026
Role brief

hrroles summary, based on the employer's posting.

What you'll do

  • Run AI and machine-learning searches from manager intake through interviews, offers and candidate close
  • Turn research teams’ needs into sourcing plans, candidate profiles and calibrated role expectations
  • Build relationships with researchers through publications, GitHub, conferences and open-source communities
  • Coordinate long-range talent planning and balance hiring needs across research groups
  • Improve fair, consistent recruiting processes while tracking pipeline quality, sourcing results and hiring timelines

What you bring

  • At least five years recruiting technical research teams end to end, including AI or machine-learning researchers
  • An established network in machine-learning research, such as through NeurIPS, ICML or leading computer science programs
  • A record of engaging passive candidates at leading universities and advanced research labs
  • Enough machine-learning fluency to assess research qualifications alongside hiring teams

Who this fits

This suits a hands-on recruiter who can work independently, manage shifting priorities and advise senior technical leaders. The role is based in Cambridge, United States.

From the employer

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.

Compensation

We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.

U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.

International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.

Expected Base Salary Range$160,000—$215,000 USD

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. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.

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.

Opportunity

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Recruiting & Talent Acquisition$160k+

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Opportunity

Recruiting & Talent Acquisition work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind hrroles.