Senior Technical Recruiter, AI Research

Location: Cambridge, MA, USA or San Francisco, CA, USA; office-based employees receive commuter benefits including bike share memberships.

Expected base salary: $160,000–$215,000 USD annually, with bonus potential and early-stage equity.

Company

hirify.global is building Scientific Superintelligence by combining advanced AI models with proprietary AI Science Factory instruments to automate scientific discovery across medicine, materials, and energy.

What you will do

• Develop and execute full-cycle recruiting plans for AI/ML research and engineering roles, from hiring-manager intake through screening, interview management, offer strategy, and closing.
• Partner with AI Research hiring managers, interview panels, leadership, and cross-functional stakeholders to define candidate personas, calibrate roles, and map long-term AI/ML talent strategy.
• Build and maintain a high-trust network of ML researchers and applied scientists across LLM, reinforcement learning, and generative AI using publications, GitHub, conferences, open source, and other non-traditional channels.
• Attract passive candidates from leading academic institutions and frontier labs while strengthening LILA's employer brand in the ML research and scientific community.
• Build and improve recruiting processes that maintain a consistent talent bar and reduce bias; track pipeline hygiene, time-to-fill, slate quality, and source efficacy.
• Monitor sourcing techniques, interview innovation, and AI/ML talent-market trends, including agentic recruiting tools and workflows.

Requirements

• 5+ years of full-cycle recruiting experience supporting technical research teams, including recruiting AI/ML research talent.
• A strong existing network in the ML research community, including NeurIPS, ICML, and top computer science or machine learning programs.
• Experience attracting passive candidates from leading academic institutions and frontier labs and scaling a high-performing technical hiring function.
• Strong technical aptitude and the ability to understand and evaluate 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 have

• Deep interest in AI's potential and a realistic view of its risks and limitations, with enthusiasm for LILA's scientific mission.
• Hands-on experience with agentic recruiting tools and workflows, including automation and enrichment or triage helpers.
• Experience recruiting at a deep-tech or frontier AI research organization.
• International recruiting experience across multiple regions.

Culture & Benefits

• Startup-speed environment focused on truth, trust, curiosity, grit, and velocity.
• Full-time U.S. employees receive medical, dental, and vision coverage; employer-paid life and disability insurance; and flexible time off with generous company-wide holidays.
• Paid parental leave, educational assistance, commuter benefits, and a company-subsidized lunch program are provided to full-time U.S. employees.
• Full-time employees outside the U.S. receive benefits tailored to their region; international salaries are set to local market.
• Bonus potential and generous early-stage equity are available.