Machine Learning Engineer

Machine Learning Engineer - San Francisco

A high-growth, Series A AI-powered hiring marketplace backed by leading Silicon Valley investors and iconic tech founders are on the lookout for a Machine Learning Engineer to join their team.

What will I be doing:

• Design, build, and deploy end-to-end ML systems in production.
• Develop and optimize models for ranking, retrieval, NLP, personalization, and prediction.
• Own the full ML lifecycle: data, features, training, evaluation, deployment, and monitoring.
• Create robust evaluation frameworks to measure performance, bias, reliability, and business impact.
• Partner cross-functionally to ship high-impact features quickly.
• Improve experimentation, tracking, and observability tooling.
• Establish best practices for scalable, maintainable ML systems.

What We’re Looking For

• 5+ years building and shipping production ML systems.
• Strong Python skills and experience with ML libraries (e.g., scikit-learn, XGBoost, LightGBM, PyTorch).
• Experience with large-scale data, feature pipelines, and deployment.
• Solid understanding of evaluation, experimentation, and performance trade-offs.
• Experience with LLMs, RAG, ranking, or personalization is a plus.
• Comfortable across traditional ML and modern LLM systems.
• Strong product sense, prioritization skills, and collaborative communication.

What’s in it for me?

• Salary of $190k - 290k dependent on experience plus meaningful equity.
• The opportunity to own and ship impactful ML systems end-to-end.
• A fast-paced, high-ownership environment where your work directly influences company outcomes.
• Comprehensive health benefits, flexible time off policy.
• Team off-sites and a strong in-person culture.

Apply now for immediate consideration!