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Bespoke Labs

Technical Recruiter

Reposted 7 Days Ago
Remote
Hiring Remotely in USA
Mid level
Remote
Hiring Remotely in USA
Mid level
The Technical Recruiter will manage full-cycle recruiting for engineering and research roles, source candidates, facilitate interviews, and refine recruitment processes.
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About Bespoke Labs

Bespoke Labs is an applied AI research lab pioneering data and RL environment curation for training and evaluating agents.

Recently, we curated Open Thoughts, one of the best open reasoning datasets used by multiple frontier labs, trained SOTA specialized models such as Bespoke-MiniChart-7B and Bespoke-MiniCheck, and taught agents to do multi-turn tool-calling with reinforcement learning.

Bespoke is uniquely positioned to capture a large market share of data and RL environment curation.

About the Role

We're looking for a Technical Recruiter to own full-cycle recruiting across engineering, research, and operations roles. You'll source and close top talent in a competitive AI hiring market, partner closely with hiring managers, and help build the systems and culture that make Bespoke a place great people want to join.

What you'll do
  • Own end-to-end recruiting for technical roles (Research Engineers, Research scientists, Software engineers, Product engineers, and more)

  • Source passive candidates through creative outreach, referrals, and community engagement

  • Manage candidate pipeline, interviews, and offer negotiations

  • Build and refine recruiting processes as we scale

  • Partner with leadership to forecast hiring needs and prioritize roles

What we're looking for
  • 3+ years of technical recruiting experience, ideally at a startup or in AI/ML

  • Strong sourcing skills and a network in the AI/engineering talent market

  • Ability to move fast, operate independently, and wear multiple hats

  • Excellent judgment on candidate quality and culture fit

  • Familiarity with AI/ML roles and terminology

  • Ability to hire for non-technical roles (e.g. operations) is nice to have.

Logistics

Location: Remote (only USA) or Mountain View, CA (Hybrid).

Compensation: Competitive salary and equity based on experience.

Benefits: Health coverage, flexible work arrangements, and the opportunity to help define a new product category in AI infrastructure

We encourage you to apply even if you don't meet every qualification. We value diverse perspectives and are happy to discuss how your unique background could be a great fit for this role.

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