Contract Tech Recruiter (AI/ML)

Job Description

Type: Temp (3–6 months) • Location: Remote US TZs

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Roles: Forward Deployed Engineer, Senior ML Engineer, Research Engineer/Scientist (Alignment), AI Product Manager

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What You’ll Do (90% of your time)

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Sourcing (high-volume, targeted)

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• Build curated hit-lists (companies, labs, OSS repos, arXiv/Google Scholar, conference rosters).
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• Run 120+ tailored outreaches/week; iterate subject lines/copy; track reply → screen conversion.
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• Deliver 12–20 net-new qualified prospects/week across the four roles.
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Screening (technical + fit)

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• 20–30 min calibration screen: LLM/ML fundamentals (serving, RAG, evals, fine-tuning), systems depth, and product sense.
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• Validate artifacts: repos, papers/preprints, benchmarks, shipped features.
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• Record structured notes to scorecards; advance/decline within 24 hours.
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Interviewing (structured, signal-rich)

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• Run/host first-rounds and working sessions:
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• FDE: customer debug + rapid proto scenario.
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• Sr ML: system design for inference/training + MLOps trade-offs.
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• Research/Alignment: paper deep-dive, eval design, interpretability/RLHF discussion.
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• AI PM: PRD outline + model/metric trade-offs + experiment plan.
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• Keep panels on-script; capture evidence, not vibes.
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Must-Haves

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• 4+ yrs tech recruiting (2+ in AI/ML or deep eng). Comfortable doing first-pass tech screens.
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• Fluency with ATS + LinkedIn Recruiter; hands-on with GitHub search and academic sources.
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• Tight communicator; zero tolerance for sloppy pipelines.
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