Job Details

Machine Learning Engineer – San Francisco (On-site)

Join a high-growth, Series A AI startup backed by top Silicon Valley investors, building an intelligent hiring marketplace powered by cutting-edge ML.

What You'll 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 They're Looking For:

• 5+ years building production ML systems
• Strong Python skills + 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 On Offer:

• $190K–$290K + meaningful equity
• High ownership with real product impact
• Fast-paced, collaborative environment
• Strong benefits, flexible PTO, team offsites

Apply now for immediate consideration.