Get more replies from employers
Send a job-specific resume in minutes.
At Datalab, we train state-of-the-art language models that read documents with human-level accuracy and power the next generation of AI products, workflows, and research.
Our models - Chandra, Surya, and Marker - have become the backbone of document intelligence, with more than 50,000 GitHub stars and adoption across top tier 1 AI research labs, Fortune 500 enterprises, and government agencies.
We've grown to 7-figure ARR with ~7x growth in 2025, driven by a lean, senior team that operates with high autonomy and deep technical ownership.
Backed by founding members of OpenAI, FAIR, and Hugging Face. We move fast, ship often, and we're hiring builders who do the same.
We’re looking for a fullstack engineer who wants to build the interfaces, tools, and infrastructure that help thousands of developers and enterprises use our models. You’ll work across the stack to shape how people interact with OCR, extraction, and document-understanding systems. That includes building core inference workflows, creating intuitive UI for complex parsing tasks, and improving the developer experience across our open-source repos and API.
This is a high-ownership role that blends engineering, product thinking, and community engagement. You will work closely with the founders and the rest of the team to ship features, improve performance, and make our technology accessible to a global community of builders.
As a small and fast-moving team, roles are fluid. You should enjoy working across backend, frontend, performance, and user-facing surfaces. Your work will directly influence how thousands of teams evaluate and deploy our models.
You thrive at the intersection of engineering, product, and user experience. You like working close to real users and making technical systems feel simple and intuitive. You operate with autonomy and ownership and enjoy moving quickly in an environment where you can directly influence outcomes.