Senior Machine Learning Engineer

GW514
  • $190,000-$290,000
  • San Francisco, CA
  • Permanent

About the job


Senior Applied Machine Learning Engineer

πŸ“ San Francisco, CA (5 Days Onsite)

πŸ’° $190K–$290K Base + Equity


We're partnering with a rapidly scaling AI startup that has recently raised a major Series B and is transforming a massive, fragmented industry through AI-powered marketplace technology.

This is an opportunity to join as one of the earliest ML hires and have a direct impact on product, strategy, and company growth.


What You'll Be Working On:

You'll build production machine learning systems that improve:

  • Recommendations and ranking
  • Search relevance and retrieval
  • Marketplace matchmaking and personalization
  • Supply and demand optimization
  • AI-driven automation and operational efficiency

This is a highly applied ML role focused on real-world outcomes, not research or prototype LLM projects.


What You'll Do:

  • Own ML systems end-to-end, from data and modeling through deployment and monitoring
  • Build ranking and recommendation systems used in production
  • Develop evaluation frameworks to measure quality, reliability, and business impact
  • Run experiments, analyse results, and continuously improve performance
  • Partner closely with Product, Engineering, and Operations teams
  • Help shape ML best practices as the function scales


What We're Looking For:

βœ… Experience shipping ranking, recommendation, search, or personalization systems

βœ… Strong understanding of ML fundamentals and experimentation

βœ… Ability to connect model performance to business outcomes

βœ… Experience owning production ML systems from idea to deployment

βœ… Thrives in fast-moving, startup environments


Bonus Points For:

  • Marketplace experience
  • Large-scale retrieval or search systems
  • Applied AI / LLM product experience
  • Startup experience


Why This Opportunity?

  • Early ML hire with significant ownership
  • High-growth company with exceptional momentum
  • Meaningful equity upside
  • Opportunity to build systems that directly influence company success
  • Work alongside an ambitious, highly technical team


If you've built recommendation engines, ranking systems, search products, or marketplace ML solutions at scale, I'd love to have a confidential conversation.


Ashley Willing Researcher

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