Machine Learning Engineer

GW327
  • $200,000-$300,000
  • San Francisco, CA
  • Permanent

About the job


πŸ’‘ What if your next role let you build the ranking and recommendation systems powering one of the fastest-growing hiring marketplaces in tech?


πŸš€ Our client β€” a rapidly scaling, venture-backed marketplace startup β€” is hiring an AI/ML Engineer.


They’re building a recruiter-first hiring marketplace that helps companies fill high-stakes roles faster by matching them with specialist recruiters, using AI to continuously improve match quality, ranking relevance, and marketplace outcomes.


The role:

πŸ”§ Ship and own ranking and recommendation systems end-to-end in production

🎯 Improve matchmaking quality across a two-sided marketplace (who sees whom, in what order, and why)

πŸ“Š Build robust evaluation frameworks (A/B testing, bias, reliability, business impact)

βš–οΈ Optimize marketplace dynamics: incentives, feedback loops, cold start, supply & demand

πŸ€– Apply AI to automate workflows and increase throughput without breaking trust

🀝 Partner cross-functionally with product, engineering, and ops to tie ML directly to business outcomes


Why join?

🌎 Early ML hire (#2 or #3) with real leverage and ownership

πŸ’° $190k–$300k base + equity

πŸ“ˆ 40x revenue growth since seed, 1,000+ hires on-platform, 700+ new customers

πŸš€ Used by companies like Palantir, Cursor, Windsurf, Decagon, and Hightouch



πŸ“© Interested? Apply now!


Jack Smith Researcher

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