LILA has created the world's first Operating System for Science powered by Scientific Superintelligence™. Backed by General Catalyst.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
More about this role
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.
- 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...
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