Machine Learning Engineer

MACHINE LEARNING ENGINEER

You'll build the ML behind Firecrawl — the models and the systems that serve them. That starts with search: training and shipping the ranking and relevance models for one of our fastest-growing products, then extending that work across extraction quality and LLM-driven features. You'll also own how we measure: A/B testing launches and building the experimentation frameworks the whole team ships against. If you ship models into production — whether your title says ML engineer or data scientist — this is for you.

Salary Range: $210,000–$240,000/year

Equity Range: Competitive equity — details shared during the process.

Location: San Francisco, CA (Hybrid, on-site required)

Job Type: Full-Time

Experience: 3+ years building ML or data-heavy systems in production

Visa: Must be legally authorized to work in the United States. We're not able to sponsor visas right now, though that may change down the line.

ABOUT FIRECRAWL

Firecrawl is the easiest way to turn the web into data AI agents can use. One API call converts any URL into clean, LLM-ready markdown or structured data - the boring-hard problem everyone building with LLMs eventually hits, solved.…