Six Figure Work

Technical Recruiter, AI Research

Lila Sciences

Company websitelila.ai (Lila Sciences, opens in new tab)

Base salary $160K  to $215K

Employer-published annual base salary, USD. Advertised base range in United States

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  • LocationUnited States
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

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.

Source: Lila Sciences on Greenhouse · View original posting (opens in new tab)

Pay in context

This role's base floor ($160,000) is above 25% of the 1,514 Data & ML roles in California listed on this site; 20 others list the same floor. Their median floor is $187,500; the middle half runs from $159,200 to $229,375.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 6 other live Lila Sciences roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Lila Sciences roles with the nearest advertised base floor
RolePublished base
Technical Recruiter, AI Research (this listing)$160K - $215K
Staff / Principal Automated Systems Engineer$163,400 - $228,000
Staff IT Systems Engineer, Endpoints$163,400 - $217,886
Director, Product Marketing, Life Sciences$168K - $238K
(Senior) Director, Portfolio Strategy, Life Sciences$168K - $272K
Director/ Senior Director, Product, Materials Chemistry$168K - $272K
Director, Enterprise Account Management, Life Sciences$168K - $272K

Same $100K to $400K scale as every card. All Lila Sciences roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
  3. fields changed
Observed since
Employer-stated posting date
2026-10-22
Where this pay comes from

Location as the employer wrote it: Cambridge, MA USA; San Francisco, CA USA

USD 160,000 – 215,000 · interval unstated · pay_input_range · Expected Base Salary Range · base-labelled (R1: Base Salary)

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.