# Machine Learning Engineer at Firecrawl

- Company: Firecrawl
- What the company does: Firecrawl is the web data API to search, scrape, and interact with the web at scale. Turn any source into clean Markdown or structured data your agents can ship with. Backed by Y Combinator.
- Company website: https://www.firecrawl.dev
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco HQ; Toronto Hub
- Work setup: On-site
- Pay: $250K to $290K base salary per year (USD)
- Posted: 2026-08-20
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/firecrawl/72f9dc1d-65db-48c9-b3d9-c6ccdb997006
- Page: https://www.1752.vc/careers/jobs/firecrawl-machine-learning-engineer/

## About the role

Improve ranking and relevance for Firecrawl Search, from feature engineering to model training to production Build and tune models for learning-to-rank, query understanding, and LLM-driven retrieval

## What they're looking for

- You've shipped ML models into production systems and owned them after launch: deploying, monitoring, and retraining them, not handing them off
- You have real ranking or relevance-modeling experience: learning-to-rank, recommendations, or search quality
- You're comfortable in large, data-heavy systems: query logs, pipelines, and datasets that don't fit in memory
- You write production-quality code (Python at minimum) and can work inside a real backend codebase
- You're rigorous about measurement. You've designed and analyzed A/B tests and know when a lift is real
- You can communicate results clearly to the team: what shipped, what moved, and what to do next

Tags: Engineering Team