San FranciscoFull TimeEngineering
Remotely
technical recruitingai/mldistributed systemscompensationbenchmarkingequity
Job Description
📋 Description
- Source and build candidate pipelines by tracking arXiv preprints, GitHub activity, OpenReview
- Map and cultivate passive talent ecosystems across top PhD programs (Stanford, MIT, CMU), frontier
- Build proactive candidate pipelines long before formal requisitions open
- Engage passive researchers, Research Engineers, and Forward-Deployed Engineers who do not respond
- Demonstrate technical fluency to assess candidate relevance and partner with technical leaders on
- Partner directly with CEO, CTO, and research leaders to design and execute individualized closing
🎯 Requirements
- 4+ years of full-lifecycle technical recruiting experience with proven depth in AI/ML, Research
- Ability to speak credibly with top researchers and technical leaders
- Proven closer: demonstrated track record of personally sourcing and closing highly sought-after
- Strong understanding of private-company equity, technical compensation, and competitive market
- High ownership and startup speed: ability to operate with high urgency in a fast-moving AI research
🎁 Benefits
- Work at the frontier of AI
- Opportunity to contribute to leading-edge AI research and showcase work at top conferences (ICLR
- Bring frontier AI innovation to the enterprise
- Collaborate with exceptional colleagues from Google, Meta, Amazon
- Startup speed with ownership and impact
- Equal opportunity employer
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