Machine Learning Engineer

GW421
  • $190,000-$290,000
  • San Francisco, CA
  • Permanent

About the job


Machine Learning Engineer – San Francisco


A high-growth, Series A AI startup backed by top Silicon Valley investors, building an intelligent hiring marketplace powered by cutting-edge ML are looking for a Machine Learning Engineer to join their team.


What will I be doing: 


  • Build and deploy end-to-end ML systems in production
  • Develop models across ranking, retrieval, NLP, personalization, and prediction
  • Own the full ML lifecycle: data → deployment → monitoring
  • Design evaluation frameworks for performance, bias, and impact
  • Collaborate cross-functionally to ship high-impact features fast
  • Improve experimentation, tracking, and ML infrastructure


What we're looking for: 


  • 5+ years building production ML systems
  • Strong Python + experience with PyTorch, XGBoost, LightGBM, or scikit-learn
  • Experience with large-scale data, pipelines, and deployment
  • Solid understanding of evaluation and experimentation
  • LLMs, RAG, or personalization experience is a plus
  • Product mindset with strong communication skills


What's in it for me: 


  • $190k–$290k + meaningful equity
  • High ownership and real product impact
  • Fast-paced, collaborative environment
  • Strong benefits, flexible time off, team offsites


Apply now for immediate consideration.


Kirstie Moffat ML Research & Engineering Recruiter

Apply for this role