Job description

ABOUT DATALAB Datalab is an applied research lab in New York. We train our own models to turn documents into data you can verify: scans, dense tables, handwriting, the pages other tools get wrong. We’re growing fast, and we’re backed by Peak XV, Factorial Capital and Pebblebed, along with founding members of OpenAI, FAIR and Hugging Face. Our models top public benchmarks against Reducto, LlamaParse and Mistral OCR. Customers include Anthropic, ElevenLabs, Legora, Siemens Healthineers, Gamma, Elicit, Chroma and Kin, along with hundreds more across frontier AI labs, healthcare, finance, government and legal. Our open-source models (Marker, Surya, Chandra, Indra, Lift) have more than 75,000 GitHub stars. We’re a small team that owns its models end to end. The hardest customer problems end up on our roadmap, and the people solving them decide what we build next. ROLE OVERVIEW We're looking for a Founding Engineer to develop and evangelize our open-source repos. This includes chandra, surya, marker, pdftext, and lift, which collectively have over 75k GitHub stars. It also includes new tools we haven't built or launched yet. As you work on our repos, you’ll also become the credible person to evangelize them. You’ll turn your own work into demos, benchmarks, tutorials, and launches. You’ll also support other launches across Datalab, especially when they touch open source components like the SDK. Our projects have real reach: 70k+ GitHub stars and users everywhere from frontier AI labs to Fortune 500s. Your job is to turn that reach into a thriving, engaged developer community through content, code, and showing up where developers already are. If you're the kind of engineer who’s energized by both building things and helping other people build, this is the role for you. Day to day: Own our open source repos and SDK: Drive chandra, surya, marker, lift, and our Python SDK forward as a hands-on contributor. Ship new features and improvements that the market cares about, help plan new versions, and own open-source launches end-to-end. This spans from the release itself to the demos, benchmarks, and content to evangelize the launch. Build demos and benchmarks. Build example apps, templates, and starter projects on top of Datalab's models and API that make it obvious what's possible and easy to remix. Publish benchmarks and evals that show, in code, how our models compare. Turn your work into content that teaches: Write technical blogs, guides, tutorials, and changelogs that help developers get started with marker, surya, chandra, lift, and our API, then go deep. Establish cookbooks and quickstart guides where we don't have them yet. Write content that helps developers differentiate between our platform / our models and our competitors (e.g., how to run evals). Close the loop with product: Bring developer feedback, friction points, and emerging needs back to engineering and product to help shape what we build next. Grow the community: Engage developers on GitHub, Discord, X, Reddit, and beyond. Celebrate contributors, answer questions, highlight cool projects, and add value in conversations rather than just promote. Be a visible, trusted voice for the platform online. IDEAL CANDIDATE You're a strong engineer who’s shipped things developers use, and you also love helping other people build. You know how to explain a complex idea simply, and you're as comfortable writing a tutorial or recording a demo as you are building a feature. - 5+ years building production software, with meaningful open-source contributions - Strong hands-on engineering skills; fluent in Python, shipping real, reproducible, well-tested code - Track record of owning code end-to-end - design, implementation, release, and maintenance - Able to create credible technical content - blogs, docs, tutorials, demos, or video - that developers actually read, watch, and use, because you understand the system deeply - Comfortable representing your work publicly, whether in writing, on camera, or in online communities - Comfortable with an early-stage startup - self-directed, hands-on, and happy to balance depth with shipping velocity Bonus points if you: - Have experience with OCR, document AI, or structured extraction - Have contributed to or maintained a widely-used open-source ML/vision/NLP project - Have a growing audience on YouTube, X, or Twitch, or an active presence in developer communities - Have used (and loved) marker, surya, chandra, or lift INTERVIEW PROCESS 1. 30-minute video call to evaluate fit 2. 1.5-hour in person meeting to build an architecture together 3. Async code sharing + review phase (not a take-home project, you just share some code samples) 4. Culture fit interviews with the team At this stage of the company, every interview is somewhat custom, so these phases may be rearranged slightly. EQUAL OPPORTUNITY Datalab is an equal opportunity employer. We do not discriminate on the basis of any characteristic protected by federal, state, or local law. If you need an accommodation to participate in our hiring process, or if you believe you have experienced discrimination or harassment at any point in it, contact operations@datalab.to.

Requirements

Must-haves

If you're the kind of engineer who’s energized by both building things and helping other people build, this is the role for you.
Close the loop with product: Bring developer feedback, friction points, and emerging needs back to engineering and product to help shape what we build next.
5+ years building production software, with meaningful open-source contributions
Strong hands-on engineering skills; fluent in Python, shipping real, reproducible, well-tested code
Track record of owning code end-to-end - design, implementation, release, and maintenance
Able to create credible technical content - blogs, docs, tutorials, demos, or video - that developers actually read, watch, and use, because you understand the system deeply
Comfortable representing your work publicly, whether in writing, on camera, or in online communities
Comfortable with an early-stage startup - self-directed, hands-on, and happy to balance depth with shipping velocity
Have experience with OCR, document AI, or structured extraction
Have contributed to or maintained a widely-used open-source ML/vision/NLP project
Have a growing audience on YouTube, X, or Twitch, or an active presence in developer communities
Have used (and loved) marker, surya, chandra, or lift

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonapigoml

Platform: ashby
Effort: quick

Benefits

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