Research Engineer - Benchmarks
FirecrawlLocation: San Francisco HQ; Toronto HubOpen for: 11+ days
- Remote
Checking today's postings…
Checking today's postings…
FirecrawlLocation: San Francisco HQ; Toronto HubOpen for: 11+ days
FirecrawlLocation: San Francisco HQ; Toronto HubOpen for: 11+ days
FirecrawlLocation: San Francisco HQ; Toronto HubOpen for: 11+ days
Open 11+ days
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Firecrawl, so its true age is longer.
See how much of this posting your resume shows, and what it's missing.
Upload your resumeSalary Range: $250,000–$290,000 USD/year (SF) / $210,000–$224,000 CAD/year (Toronto) (quoted from the posting)
Not stated: Real vacancy, AI screening.
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Research Engineer - Benchmarks
Every week, someone asks which data provider is actually best: for company records, for finding the right person, for fresh job listings. Right now the answers come from the vendors themselves. You'll build the independent version. You'll run rigorous, automated, public benchmarks of the providers in Alexandria and beyond, and publish them weekly. The same results will feed straight back into Alexandria so it learns which provider to call for which job.
This isn't our internal evals role. You're measuring the market, in public, where every number will be challenged by the vendors it ranks. You'll own it end to end: the datasets, the ground truth, the scoring, the harness, the weekly release, and the loop into Alexandria's provider selection. No one hands you a methodology. You write it, defend it, and ship it every week.
Salary Range: $250,000–$290,000 USD/year (SF) / $210,000–$224,000 CAD/year (Toronto)
Equity Range: Competitive equity. Details shared during the process.
Location: San Francisco, CA (SF HQ) or Toronto, ON (Toronto Hub). Hybrid, onsite 3+ days a week.
Equity Range: Competitive equity. Details shared during the process.
Location: San Francisco, CA (SF HQ). On-site, five days a week.
Job Type: Full-Time
Experience: 4+ years in ML, research engineering, or data engineering, with evaluation or benchmark work you've shipped
Work Authorization: Open to candidates already authorized to work in the US or Canada. In the US, we also support H-1B transfers, F-1 OPT and STEM OPT, TN (Canada and Mexico), and E-3 (Australia). We’re not able to sponsor new H-1B visas for candidates outside the US. For Canada, we’ll consider work permit sponsorship case by case through our Toronto Hub.
About Firecrawl
Firecrawl 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. It's the boring-hard problem everyone building with LLMs eventually hits, solved.
In September 2026, we raised a $75M Series B led by Smash Capital, and we're spending it building the largest repository of knowledge in the world. We hit 8 figures in ARR in year one and more than doubled it in year two. We have 192k+ GitHub stars, putting us in the top 40 repositories of all time, 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. That library is called Alexandria, and it starts now.
Something wrong with this posting?
Last checked Nov 1, 2026.
A Note On Pace
We 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
If you want to be the person the whole market checks before picking a data provider, you should join us.
👉 Apply now.