Technical Sourcer

Reposted 17 Hours Ago
Be an Early Applicant
3 Locations
In-Office
Mid level
Software
The Role
The role involves sourcing AI Research Scientists and specialized technical talent, building targeted pipelines, and collaborating with recruiters to refine search criteria.
Summary Generated by Built In
Our Mission

Reflection’s mission is to build open superintelligence and make it accessible to all.

We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.

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.

What We’re Looking For
  • 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.

Why Reflection AI
  • 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.

Note: This role is onsite in SF, NYC, or London. We are unable to consider remote candidates for this position.

What We Offer:

We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.

We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.

  • Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.

  • Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.

  • Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.

  • Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time.

  • Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

Top Skills

Gem
Juicebox
Linkedin Recruiter
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The Company
HQ: Brooklyn, New York
38 Employees

What We Do

Reflection was founded by former DeepMind and OpenAI researchers to build superintelligent coding agents. We previously built the most powerful LLM (ChatGPT, Gemini) and agent (AlphaGo, AlphaZero) systems in the world.

Reflection’s mission is to build superhuman coding agents. Today’s language models are powerful, but they fall short when it comes to tasks that require acting over many steps. The reason is simple. These models were never trained for autonomy. Our goal is to create the most capable and reliable coding agents in the world. Our product is a Coding Agent API that helps automate rote engineering work.

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