Note: The job is a remote job and is open to candidates in USA. Turing accelerates superintelligence and works with frontier AI labs and enterprises to advance AI systems and applications. The Senior Technical Recruiter will serve as an embedded strategic partner to Research Scientists, Research Engineers, and AI leadership by sourcing, engaging, and closing highly sought-after technical talent for frontier AI teams.
Responsibilities
- Look beyond standard keyword searches by continuously tracking arXiv preprints, GitHub activity, OpenReview 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
Skills
- **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**: Ability to speak credibly with top researchers and technical leaders
- **Proven Closer**: Demonstrated track record of personally sourcing and closing highly sought-after candidates against competing offers from frontier labs or hyperscalers
- **Compensation & Equity Fluency**: Strong understanding of private-company equity, technical compensation, and competitive market benchmarking
- **High Ownership & Startup Speed**: Ability to operate with high urgency in a fast-moving AI research environment
Benefits
- Work at the frontier of AI, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
- Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
- Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges.
- Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
- Move at the pace of AI innovation, with the speed, ownership, and impact of a startup.
Company Overview