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About the Role
As an AI Research Recruiter at Lila Sciences, you will partner directly with AI research and engineering teams to identify, engage, and hire the talent building the company's AI-driven platform. This is a strategic, full-cycle role focused on shaping hiring plans, building the company's reputation in the AI research community, and sourcing talent through high-signal technical channels.
Responsibilities
- 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.
- 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.
- Stay current on sourcing techniques, interview innovation, and AI/ML talent-market trends.
- Maintain operational rigor including pipeline hygiene, recruiting metrics, and clear communication with candidates and hiring teams.
Requirements
- 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 managers.
- Excellent negotiation, communication, and stakeholder-management skills with senior technical leaders.
- Comfortable operating with autonomy and juggling shifting priorities in a fast-moving environment.
Skills
- AI/ML research talent recruiting
- Technical recruiting
- Full-cycle recruiting
- Sourcing strategy
- Candidate personas
- Role calibration
- Relationship-building
- Community presence
- Non-traditional discovery loops
- Talent strategy
- Recruiting process iteration
- Bias removal in hiring
- Employer branding
- Sourcing techniques
- Interview innovation
- Talent-market trend analysis
- Pipeline hygiene
- Recruiting metrics
- Negotiation
- Communication
- Stakeholder management
- Autonomy
- Prioritization
- Agentic recruiting tools/workflows
Location
- U.S.
Work Type
- Full-time
Experience Level
- 5+ years
Salary/Compensations
- $160,000—$215,000 USD
Benefits
- Competitive base compensation with bonus potential
- Generous early-stage equity
- Medical, dental, and vision coverage
- Employer-paid life and disability insurance
- Flexible time off with generous company wide holidays
- Paid parental leave
- Educational assistance program
- Commuter benefits, including bike share memberships
- Company subsidized lunch program
- International benefits tailored to region
About the Company
- 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.
Equal Opportunity
- 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.