Machine Learning Engineer
GW421
Posted: 16/04/2026
- $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