{"schemaVersion":"jobsearcher.job.v1","id":"643d2ee7dfa3124dd4a7a2fa","url":"https://jobsearcher.com/jobs/643d2ee7dfa3124dd4a7a2fa","canonicalUrl":"https://jobsearcher.com/jobs/643d2ee7dfa3124dd4a7a2fa","title":"Research Engineer","description":"Research Engineer\r\nYou'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 the systems we're measuring get more complex, 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.Salary Range:$210,000–$275,000/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.)Equity Range:Competitive equity — details shared during the process.Location:San Francisco, CA (Hybrid, on-site required)Job Type:Full-TimeExperience:4+ years in ML, research engineering, or data-heavy backend, with real evaluation workVisa: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\r\nFirecrawl 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.We hit 8 figures in ARR in year one and more than doubled it in year two. We have 170k+ GitHub stars, and developers, agents, and category-defining AI companies build on us every day. Growth like this is rare, and we're just getting started.We're a small team punching far above our weight. Everyone here owns a real piece of the product and company, end to end, and runs it themselves - no hiding behind process or headcount.This is a place for people who want to work at the frontier: an AI company building the infrastructure other AI companies run on, not one bolting AI onto an existing product. We move fast, go deep, and are building the tools superintelligence will rely on to gather data from the web.What You'll DoDesign the metrics that define what \"good output\" actually means across millions of sites, formats, and edge casesBuild the pipelines and harnesses that measure quality rigorously and at scaleGenerate and curate the datasets that make evaluation trustworthyOwn the feedback loop from output quality back to model and product decisionsTurn \"did that work?\" into an answer the whole team can act onWhat We're Looking ForYou have the engineering depth to build real evaluation systems, not just run existing onesYou care deeply about what \"good\" means and how to measure it rigorouslyYou're comfortable owning ambiguous problems where the metric itself has to be inventedYou move fast and close the loop - you'd rather ship, measure, and iterate than perfect on paperWhat We're NOT Looking ForSomeone who only wants to run benchmarks someone else designedA pure researcher who won't build the systems, or a pure engineer who won't think about methodologySomeone who needs a fully-specced ticket to startA Note On Pace\r\nWe operate at an absurd level of urgency because the window for what we're building won't stay open forever. If that excites you, keep reading. If it doesn't, no hard feelings — but this role probably isn't for you.Benefits & Perks\r\nAvailable to all employeesSalary that makes sense— $210,000-$275,000/year (U.S.-based), based on impact, not tenureOwn a piece— Gain competitive equity in what you're helping buildGenerous PTO— 15 days mandatory, anything after 24 days, just ask (holidays excluded); take the time you need to rechargeParental leave— 12 weeks fully paid, for all parentsWellness stipend— $100/month for the gym, therapy, massages, or whatever keeps you humanLearning & Development— Expense up to $1,000/year toward anything that helps you grow professionallyTeam offsites— A change of scenery, minus the trust fallsSabbatical— 3 paid months off after 4 years, do something fun and newAvailable to US-based full-time employeesFull coverage, no red tape— Medical, dental, and vision (100% for employees, 50% for spouse/kids) — no weird loopholes, just care that worksLife & Disability insurance— Employer-paid short-term disability, long-term disability, and life insurance — coverage for life's curveballs#J-18808-Ljbffr","company":"Visa Hunt","rawCompany":"visa hunt","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-08T01:22:59.954Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Research Engineer","description":"Research Engineer\r\nYou'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 the systems we're measuring get more complex, 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.Salary Range:$210,000–$275,000/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.)Equity Range:Competitive equity — details shared during the process.Location:San Francisco, CA (Hybrid, on-site required)Job Type:Full-TimeExperience:4+ years in ML, research engineering, or data-heavy backend, with real evaluation workVisa: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\r\nFirecrawl 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.We hit 8 figures in ARR in year one and more than doubled it in year two. We have 170k+ GitHub stars, and developers, agents, and category-defining AI companies build on us every day. Growth like this is rare, and we're just getting started.We're a small team punching far above our weight. Everyone here owns a real piece of the product and company, end to end, and runs it themselves - no hiding behind process or headcount.This is a place for people who want to work at the frontier: an AI company building the infrastructure other AI companies run on, not one bolting AI onto an existing product. We move fast, go deep, and are building the tools superintelligence will rely on to gather data from the web.What You'll DoDesign the metrics that define what \"good output\" actually means across millions of sites, formats, and edge casesBuild the pipelines and harnesses that measure quality rigorously and at scaleGenerate and curate the datasets that make evaluation trustworthyOwn the feedback loop from output quality back to model and product decisionsTurn \"did that work?\" into an answer the whole team can act onWhat We're Looking ForYou have the engineering depth to build real evaluation systems, not just run existing onesYou care deeply about what \"good\" means and how to measure it rigorouslyYou're comfortable owning ambiguous problems where the metric itself has to be inventedYou move fast and close the loop - you'd rather ship, measure, and iterate than perfect on paperWhat We're NOT Looking ForSomeone who only wants to run benchmarks someone else designedA pure researcher who won't build the systems, or a pure engineer who won't think about methodologySomeone who needs a fully-specced ticket to startA Note On Pace\r\nWe operate at an absurd level of urgency because the window for what we're building won't stay open forever. If that excites you, keep reading. If it doesn't, no hard feelings — but this role probably isn't for you.Benefits & Perks\r\nAvailable to all employeesSalary that makes sense— $210,000-$275,000/year (U.S.-based), based on impact, not tenureOwn a piece— Gain competitive equity in what you're helping buildGenerous PTO— 15 days mandatory, anything after 24 days, just ask (holidays excluded); take the time you need to rechargeParental leave— 12 weeks fully paid, for all parentsWellness stipend— $100/month for the gym, therapy, massages, or whatever keeps you humanLearning & Development— Expense up to $1,000/year toward anything that helps you grow professionallyTeam offsites— A change of scenery, minus the trust fallsSabbatical— 3 paid months off after 4 years, do something fun and newAvailable to US-based full-time employeesFull coverage, no red tape— Medical, dental, and vision (100% for employees, 50% for spouse/kids) — no weird loopholes, just care that worksLife & Disability insurance— Employer-paid short-term disability, long-term disability, and life insurance — coverage for life's curveballs#J-18808-Ljbffr","datePosted":"2026-10-08T01:22:59.954Z","dateModified":"2026-10-08T01:22:59.954Z","hiringOrganization":{"@type":"Organization","name":"Visa Hunt","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"643d2ee7dfa3124dd4a7a2fa"},"url":"https://jobsearcher.com/jobs/643d2ee7dfa3124dd4a7a2fa"}}