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Turing is seeking a Senior Technical Recruiter to join its Research Engineering Recruitment Pod. Turing's mission is to accelerate superintelligence by working with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. The company also partners with Fortune 500 enterprises to build and deploy agentic AI systems in mission-critical workflows.
This is a strategic, high-impact recruiting role—not transactional high-volume hiring. You will work embedded with Research Scientists, Research Engineers, and AI leadership to source, engage, and close elite talent competing for positions at frontier labs and hyperscalers.
Key responsibilities include:
**Sourcing & Pipeline Building**: Track arXiv preprints, GitHub activity, OpenReview submissions, and open-source contributions to identify passive talent. Map and cultivate ecosystems across top PhD programs (Stanford, MIT, CMU), frontier research labs, and high-growth AI startups. Build proactive pipelines before requisitions open using emerging research and professional signals.
**Engaging Hard-to-Reach Talent**: Reach passive researchers and Research Engineers who ignore generic recruiter outreach. Demonstrate technical fluency to assess candidate relevance, understand research contributions, and partner with technical leaders on calibration across domains.
**Closing Highly Sought-After Talent**: Partner with CEO, CTO, and research leaders to design individualized closing playbooks. Win contested offers by understanding candidate motivations and leveraging aspects of the opportunity that matter most.
Required qualifications: 4+ years of full-lifecycle technical recruiting with proven depth in AI/ML, Research Engineering, Distributed Systems, or Forward-Deployed Engineering. Domain literacy to speak credibly with top researchers and technical leaders. Demonstrated track record of sourcing and closing highly sought-after candidates against competing offers from frontier labs or hyperscalers. Strong understanding of private-company equity, technical compensation, and competitive market benchmarking. High ownership mentality and ability to operate with urgency in a fast-moving environment.
