Senior Technical Recruiter - Research Engineering Pod
Listed on 2026-09-03
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HR/Recruitment
Tech / IT Recruiter, Recruiter / Talent Acquisition
Senior Technical Recruiter - Research Engineering Pod
United States
About TuringTuring’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows.
By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at .
Turing is looking for a Senior Technical Recruiter to join our embedded Research Engineering Recruitment Pod
. In this role, you will work side-by-side with our Research Scientists, Research Engineers, and AI leadership to source, engage, and close the talent building at the frontier of AI.
This is not a high-volume, transactional recruiting role. The talent pool for elite Research Engineers and Forward-Deployed Engineers is highly concentrated, hyper-competitive, and continuously targeted by frontier labs. You will act as an embedded strategic partner, mapping passive talent ecosystems across academia, quantitative research, and open-source networks, developing technically informed candidate pipelines, and orchestrating bespoke closing strategies for candidates who do not move through standard corporate hiring funnels.
The Anti-SellThis is a high-urgency recruiting role. You will compete head-to-head with frontier AI labs and hyperscalers for candidates who are often managing multiple highly competitive offers. Winning in this market requires deep technical literacy, exceptional speed, and continuous market intelligence.
This isn’t for everyone. But if you want to work on an elite team to hire the most sought-after talent in frontier AI and help build the teams defining what comes next in the field, this role may be for you!
What You'll Do- Look beyond standard keyword searches by continuously tracking arXiv preprints, Git Hub activity, Open Review submissions, and open-source contributions.
- Map and cultivate passive talent ecosystems across top PhD programs (Stanford, MIT, CMU), frontier research labs and high-growth AI startups.
- Build proactive candidate pipelines long before formal requisitions open, using emerging signals across research, open-source, and professional networks to identify and engage exceptional talent early.
- Reach passive researchers, Research Engineers, and Forward-Deployed Engineers who do not respond to generic recruiter outreach.
- Demonstrate the technical fluency to assess candidate relevance, understand research contributions, and partner with technical leaders on candidate calibration across relevant technical domains.
- Partner directly with the CEO, CTO, and research leaders to design and execute individualized closing playbooks for highly sought-after talent.
- Win contested offers by understanding each candidate’s motivations and leveraging the aspects of the opportunity that matter most to them.
Technical Recruiting Track Record
: 4+ years of full-lifecycle technical recruiting experience, with proven depth in AI/ML, Research Engineering, Distributed Systems, or Forward-Deployed Engineering.
Domain Literacy
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Ability to speak credibly with top researchers and technical leaders.
Proven Closer
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Demonstrated track record of personally sourcing and closing highly sought-after candidates against competing offers from frontier labs or hyperscalers.
Compensation & Equity Fluency
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Strong understanding of private-company equity, technical compensation, and competitive market benchmarking.
High Ownership & Startup Speed
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Ability to operate…
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