Machine Learning Engineer
Indexed description
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.
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