Type: Temp (6–9 months) • Location: Remote US TZs
Target Roles: Forward Deployed Engineer, Senior ML Engineer, Research Engineer/Scientist (Alignment), AI Product Manager
Own the top of funnel : map the market, generate calibrated pipelines fast, and hand off HM-ready prospects with crisp notes. No “post & pray.”
What You’ll Do (Sourcing-First)
- Market mapping: Build company/lab/OSS target lists; track movers (arXiv, OpenReview, Google Scholar, Hugging Face, GitHub).
- Outbound at scale: Tailored outreaches; iterate subject/copy; test 3–5 variants; maintain reply metrics.
- Profile calibration: Validate signals (repos, papers, shipped features, MLOps stack, product outcomes).
- Light pre-screen (10–15 min): Confirm level, comp ballpark, work auth, location, timeline, and role fit; capture structured notes.
- Handoff: Package candidates with scorecard snapshot + links; book with recruiter/HM.
Role Signals You’ll Target
- FDE: Customer-facing build/ship, Python + data wrangling, rapid proto, consultative comms.
- Senior ML Eng: Prod LLM/ML (inference, RAG, fine-tune, evals), MLOps (deploy/observability).
- Research/Alignment: Strong math/ML fundamentals; safety/evals/interpretability/RLHF artifacts.
- AI PM: Shipped AI features, experiment cadence, metric/latency/trade-off literacy.
Must-Haves
- 2+ years sourcing for deep eng/ML/AI roles
- Tools: ATS, LinkedIn Recruiter, GitHub search, arXiv/Scholar, Notion/Airtable, Gem/Fetcher.
- Clean pipeline habits
Engagement
- 30–40 hrs/week
Contract Talent Sourcer (AI/ML + Product) in lexington at Unknown Company
This position is listed as full time and able to be worked remotely.