Technical Recruiter, AI Research

Lila Sciences • San Francisco, MA

5d

About The Position

As an AI Research Recruiter at Lila Sciences, you will partner with AI research and engineering teams to identify, engage, and hire researchers and engineers building the company’s AI-driven platform. This is a strategic, full-cycle recruiting role that includes shaping hiring plans with research leadership, building Lila’s reputation in the AI research community, and sourcing candidates through technical channels beyond job boards.

You will develop recruiting plans for AI/ML research and engineering roles, collaborate with hiring managers and interview panels on sourcing strategies and role calibration, and build relationships with ML researchers and applied scientists across areas such as LLMs, reinforcement learning, and generative AI. You will also support long-term talent strategy, improve recruiting processes and candidate experience, represent Lila’s mission and technical work to candidates, and maintain recruiting metrics and pipeline quality.

Lila Sciences is building Scientific Superintelligence™: systems that combine advanced AI models with proprietary AI Science Factory™ instruments to execute the scientific method autonomously and accelerate discovery across medicine, materials, and energy. The company describes its culture as moving with startup speed and being guided by truth, trust, curiosity, grit, and velocity.

The expected U.S. base salary range is $160,000–$215,000, with competitive base compensation, bonus potential, and early-stage equity. Full-time U.S. employees receive medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off and company-wide holidays; paid parental leave; educational assistance; commuter benefits, including bike-share memberships for office-based employees; and a subsidized lunch program. Benefits for employees outside the U.S. are tailored to their region.

Requirements

• At least 5 years of full-cycle recruiting experience supporting technical research teams, including a track record of recruiting AI/ML research talent.
• An existing network in the ML research community, including communities such as NeurIPS, ICML, and top CS/ML programs.
• Demonstrated ability to attract passive candidates from leading academic institutions and frontier labs and to scale a high-performing technical hiring function.
• Strong technical aptitude and comfort understanding and evaluating ML and research qualifications alongside hiring teams.
• Excellent negotiation, communication, and stakeholder-management skills, including with senior technical leaders.
• Ability to work autonomously and manage shifting priorities in a fast-moving environment.

Nice To Haves

• Hands-on experience with agentic recruiting tools or workflows, such as automation and candidate enrichment or triage helpers.
• Experience recruiting at a deep-tech or frontier AI research organization.
• International recruiting experience across multiple regions.

Responsibilities

• Develop and execute strategic recruiting plans for AI/ML research and engineering roles, managing the process from hiring-manager intake through screening, interview coordination, offer strategy, and close.
• Partner with AI Research hiring managers and interview panels to translate team needs into sourcing strategies, candidate personas, and role calibration.
• Build and sustain a network of ML researchers and applied scientists across subfields including LLMs, reinforcement learning, and generative AI.
• Find candidates through research publications, GitHub, conferences, open-source communities, and other non-traditional discovery channels.
• Partner with leadership and cross-functional stakeholders to plan long-term AI/ML talent strategy and balance hiring priorities across research teams.
• Build and improve recruiting processes that maintain a high, consistent talent bar while actively reducing bias.
• Strengthen Lila’s employer brand in the ML research and scientific community by representing its mission, culture, and technical work to candidates.
• Stay current on sourcing techniques, interview innovation, and AI/ML talent-market trends, and bring new approaches to the team.
• Maintain pipeline hygiene, recruiting metrics such as time-to-fill, slate quality, and source efficacy, and clear communication with candidates and hiring teams.

Benefits

• Competitive base compensation with bonus potential and generous early-stage equity.
• Medical, dental, and vision coverage for full-time U.S. employees.
• Employer-paid life and disability insurance for full-time U.S. employees.
• Flexible time off and generous company-wide holidays.
• Paid parental leave.
• Educational assistance program.
• Commuter benefits, including bike-share memberships for office-based employees.
• Company-subsidized lunch program.
• Regionally tailored comprehensive benefits for full-time employees outside the U.S.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed