What are the responsibilities and job description for the Technical Sourcer position at ReflectionAI?
Technical Sourcer – Research Team
Location: San Francisco, CA | New York, NY | London, UK (Onsite)
About Reflection AI
Reflection AI is building state-of-the-art AI systems across pre-training, post-training, and reinforcement learning—drawing inspiration from breakthroughs like AlphaGo, MuZero, and Decision Transformer. We are a deeply technical team, committed to pushing the boundaries of AI research while delivering world-class products.
The Role
We’re looking for a Technical Sourcer with deep experience identifying and engaging AI Research Scientists and highly specialized technical talent. In this role, you’ll own the top-of-funnel strategy for some of the hardest-to-fill positions in the AI space—mapping the global talent landscape, building highly targeted pipelines, and partnering closely with recruiters and hiring managers to convert leads into hires.
What You’ll Do
Location: San Francisco, CA | New York, NY | London, UK (Onsite)
About Reflection AI
Reflection AI is building state-of-the-art AI systems across pre-training, post-training, and reinforcement learning—drawing inspiration from breakthroughs like AlphaGo, MuZero, and Decision Transformer. We are a deeply technical team, committed to pushing the boundaries of AI research while delivering world-class products.
The Role
We’re looking for a Technical Sourcer with deep experience identifying and engaging AI Research Scientists and highly specialized technical talent. In this role, you’ll own the top-of-funnel strategy for some of the hardest-to-fill positions in the AI space—mapping the global talent landscape, building highly targeted pipelines, and partnering closely with recruiters and hiring managers to convert leads into hires.
What You’ll Do
- Lead sourcing efforts for AI Research Scientists and other niche technical roles.
- Build and execute targeted search strategies using LinkedIn Recruiter, Gem, Juicebox, conference attendee lists, academic publications, and open-source contributions.
- Map research communities, track emerging talent, and identify top researchers from leading AI labs and universities.
- Qualify candidates through initial conversations to ensure alignment on skills, experience, and research focus.
- Maintain and nurture long-term relationships with top talent, even if not immediately available.
- Partner with recruiters and hiring managers to refine search criteria and deliver high-quality leads.
- Track sourcing metrics, conversion rates, and pipeline health to continuously improve efficiency and effectiveness.
- 4 years of technical sourcing experience with a proven track record in AI/ML research talent acquisition.
- Strong familiarity with research hiring cycles, publication review, and academic talent mapping.
- Creative sourcing strategies beyond standard job boards.
- Experience with LinkedIn Recruiter, Gem, Juicebox, and other sourcing platforms.
- Strong communication and relationship-building skills with highly specialized talent.
- Detail-oriented, metrics-driven, and comfortable working in a high-velocity startup environment.
- Work with founders from DeepMind and a world-class research team.
- Help build the next generation of AI research talent pipelines.
- Competitive compensation, meaningful equity, and the opportunity to make a direct impact on our mission.
