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ReflectionAI

Full-Cycle Technical Recruiter: Research

Sorry, this job was removed at 07:20 a.m. (PST) on Thursday, May 14, 2026
In-Office
San Francisco, CA, USA
In-Office
San Francisco, CA, USA

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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 Full-Cycle Technical Recruiter to own the hiring process from sourcing to close for exceptional Researchers. You'll partner directly with our leaders, build world-class teams around the models we're training, and play a critical role in scaling our technical organization.

What You'll Do
  • Own end-to-end recruitment for research roles across our technical organization

  • Source elite talent through professional networks, conferences, sourcing platforms, code repositories, engineering communities, open source contributions, and technical networks

  • 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 technical talent

  • Navigate competitive offer negotiations to close top talent in a highly competitive market

What We're Looking For
  • 5+ years of full-cycle technical recruiting experience with deep specialization in AI/ML research recruiting; ideally in startup or high-growth environments where you've worn multiple hats

  • Experience recruiting at, or for frontier AI labs hands-on sourcing expertise - you know where to find top researchers: which papers matter, which conferences to attend, and you're already connected to the research community

  • Proven ability to identify and close research talent before they hit the broader market

  • Deep understanding of AI research landscape, academic career paths, and what motivates research talent

  • Comfortable evaluating research profiles, publications, and academic credentials

  • Experience engaging with academic institutions, research labs, and scientific communities

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.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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