Senior Technical Recruiter, AI Research

Lila Sciences • Cambridge, MA

3h • $160,000 - $215,000

About The Position

As a Senior Technical Recruiter focused on AI research, you will partner directly with AI research and engineering teams to identify, engage, and hire researchers and engineers building Lila Sciences’ AI-driven platform. This strategic, full-cycle recruiting role includes shaping hiring plans with research leadership, strengthening Lila’s reputation in the AI research community, and sourcing candidates through high-signal technical channels beyond job boards.

You will develop recruiting plans for AI/ML research and engineering roles, work with hiring managers and interview panels to define candidate needs and sourcing strategies, and build relationships with ML researchers and applied scientists across areas including LLMs, reinforcement learning, and generative AI. You will also help shape long-term talent strategy, improve recruiting processes and reduce bias, represent Lila’s mission and technical work to candidates, track recruiting metrics, and maintain clear communication with candidates and hiring teams.

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 is guided by the values of truth, trust, curiosity, grit, and velocity.

Requirements

• At least 5 years of full-cycle recruiting experience supporting technical research teams, including a track record of recruiting AI/ML research talent.
• A strong existing network in the ML research community, including communities such as NeurIPS, ICML, and leading computer science and machine learning 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 and comfort understanding and evaluating ML and research qualifications with hiring managers.
• Excellent negotiation, communication, and stakeholder-management skills with senior technical leaders.
• Ability to operate autonomously and manage shifting priorities in a fast-moving environment.

Nice To Haves

• Deep interest in AI’s potential and a realistic view of its risks and limitations, with genuine enthusiasm for Lila’s scientific mission.
• Hands-on experience with agentic recruiting tools or workflows, such as automations 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, from hiring-manager intake through screening, interview-loop management, offer strategy, and closing.
• 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 such as LLMs, reinforcement learning, and generative AI, using relationship-building, community presence, publications, GitHub, conferences, and open-source channels.
• 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 consistent talent bar while actively removing bias.
• Strengthen Lila’s employer brand within 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: Senior
• Education Level: No Education Listed