Research Engineer – Evals
Quick Summary
Research Engineer — Evals You'll build the evaluation systems that tell us whether Firecrawl actually works. That sounds simple. It isn't. Our core promise — convert any URL into clean, structured, LLM-ready data reliably — is hard to measure rigorously across millions of different websites,…
Builds their own eval infrastructure. You don't wait for tooling to appear. You write the pipelines, curate the datasets, design the rubrics, and validate the judges yourself — because you understand that infra choices directly affect what you're…
You'll build the evaluation systems that tell us whether Firecrawl actually works. That sounds simple. It isn't. Our core promise — convert any URL into clean, structured, LLM-ready data reliably — is hard to measure rigorously across millions of different websites, formats, and edge cases. As we layer in models and agent workflows, the question "did that work?" gets harder, not easier.
This isn't an eval role where you inherit a framework and run benchmarks. You'll design the metrics, build the pipelines, generate the datasets, and own the feedback loop from output quality back to model and product decisions. If you care about what "good" actually means and have the engineering depth to measure it, this is the role.
Location: San Francisco, CA (Hybrid) OR Remote (Americas, UTC-3 to UTC-10) Employment Type: Full time Department: Engineering Team Compensation: $160K – $240K • 0.01% – 0.10%
Responsibilities
~1 min readLocation & Eligibility
Listing Details
- Posted
- May 13, 2026
- First seen
- May 13, 2026
- Last seen
- May 13, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 66%
- Scored at
- May 13, 2026
Signal breakdown
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