Research Engineer

Firecrawl
San Francisco
Workplace: HybridFull timeUSD 210,000 - 275,000 annuallyFunction: Research & Scientific (R&D)Experience: 3+ yearsSkills: ["Ownership","Problem-solving","Communication"]

Design and build evaluation systems that measure how well Firecrawl converts any URL into clean, structured, LLM-ready data. Own the metrics, quality pipelines, and dataset generation that make evaluation trustworthy at scale across millions of site formats and edge cases. Create a tight feedback loop from output quality back to model and product decisions—shipping, measuring, and iterating to answer “did that work?” with actionable rigor.

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FursaFursa
Firecrawl
Firecrawl
11 hours ago

Research Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Design and build evaluation systems that measure how well Firecrawl converts any URL into clean, structured, LLM-ready data. Own the metrics, quality pipelines, and dataset generation that make evaluation trustworthy at scale across millions of site formats and edge cases. Create a tight feedback loop from output quality back to model and product decisions—shipping, measuring, and iterating to answer “did that work?” with actionable rigor.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Design the metrics that define what “good output” means across millions of sites, formats, and edge cases.
  • •Build the pipelines and harnesses to measure quality rigorously and at scale.
  • •Generate and curate trustworthy evaluation datasets.
  • •Own the feedback loop from output quality back to model and product decisions.
  • •Translate “did that work?” into an answer the whole team can act on.

Pay and Benefits

Salary: USD 210,000 - 275,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kParental LeaveLearning BudgetWellness StipendPet Insurance

Key Requirements

  • •4+ years in ML, research engineering, or data-heavy backend with real evaluation work.
  • •Engineering depth to build evaluation systems end-to-end, not just run existing benchmarks.
  • •Ability to design and define what “good” output means and measure it rigorously.
  • •Comfort owning ambiguous problems where the metric itself must be invented.
  • •Willingness to move fast—ship, measure, and iterate rather than perfect on paper.
Experience:3+ yearsMLResearch engineeringData-heavy backendLLM evaluation
Skills:OwnershipProblem-solvingCommunication

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Firecrawl
example.com is an IANA-reserved domain maintained for use in documentation, examples, and testing. It is not an operating commercial company and exists solely to provide a stable, non-resolvable hostname for illustrative purposes.
Industry: Other
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