Reflection AI · 22 hours ago
Full Cycle Technical Recruiter - Research
Reflection AI is on a mission to build open superintelligence and make it accessible to all. They are seeking a Full-Cycle Technical Recruiter to own the hiring process for high-caliber research and engineering talent, partnering with hiring managers and engaging with niche candidate pools.
Computer Software
Responsibilities
Own end-to-end recruitment for Research teams, and other specialized technical roles
Source world-class talent through LinkedIn Recruiter, Gem, Juicebox, and other platforms—plus academic channels, publications, and conferences
Develop and execute data-driven sourcing strategies to target niche AI research talent
Partner closely with hiring managers to define role requirements, success profiles, and evaluation criteria
Build and maintain strong candidate pipelines, nurturing long-term relationships with passive talent
Manage interviews, candidate experience, and offer negotiations to close top talent in a competitive market
Track recruiting funnel metrics and provide data-driven insights to optimize hiring velocity and quality
Qualification
Required
4+ years of full-cycle technical recruiting experience, ideally in AI/ML, research, or deep tech
Proven track record sourcing and closing research-focused candidates (e.g., AI scientists, ML engineers)
Expert use of LinkedIn Recruiter, Gem, Juicebox, and other sourcing tools
Data-driven mindset with the ability to measure, analyze, and improve recruiting performance
Comfortable with deep research into niche technical fields, publications, and academic networks
Benefits
Comprehensive medical, dental, vision, life, and disability insurance.
Fully paid parental leave for all new parents, including adoptive and surrogate journeys.
Financial support for family planning.
Paid time off when you need it, relocation support, and more perks that optimize your time.
Lunch and dinner are provided daily.
Regular off-sites and team celebrations.
Company
Reflection AI
Frontier open intelligence accessible to all. Our team previously built frontier LLMs at labs like DeepMind, OpenAI, and Anthropic.
Funding
Current Stage
Early StageCompany data provided by crunchbase