Research Engineer — Reinforcement Learning
remotemid$180K – $290K
via Ashby
About this role
RESEARCH ENGINEER — REINFORCEMENT LEARNING
You'll bring reinforcement learning to Firecrawl's core product — building the training infrastructure, reward pipelines, and fine-tuning systems that make our models meaningfully better at extracting, understanding, and structuring web data. This isn't theoretical RL research. You'll build your own training infra, run fast experiments, ship models to production, and bridge the gap between classical RL approaches and modern LLM agent systems. If you care as much about training throughput as you do about reward design, this is the role.
Salary Range: $180,000 to $290,000/year (Range shown is for U.S.-based employees in San Francisco, CA. Compensation outside the U.S. is adjusted fairly based on your country's cost of living.)…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: go, github, teams
2
Level fit
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3
Domain experience
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4
Recency
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5
Location fit
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Skills in this role
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gogithubteams