About this opportunity
datalab.mn d.o.o. lists this Senior Software Engineer opportunity in new york, New York. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Salary range: $225k - $300k | Equity: 0.15% - 0.35% | In-Person: NYC
About Datalab
Datalab trains models that read documents reliably at scale. The world's most important information is trapped in PDFs, scans, and files that can't easily be parsed, and getting it out correctly matters. From frontier AI labs processing training data to Fortune 500s like Siemens extracting decades of engineering records, Datalab is where businesses turn to when extraction has to be right.
We’re at an 8-figure run rate with a team of 7. Anthropic is a customer. And we have hundreds more across FAANG, frontier AI labs, healthcare, finance, government, and legal. Our tools, Chandra, Surya, Marker, and Lift, have 70,000+ GitHub stars and broad developer mindshare. We're backed by founding members of OpenAI, FAIR, and Hugging Face.
Role Overview
We’re looking for a fullstack engineer who wants to build the interfaces, tools, and infrastructure that help 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 teams evaluate and deploy our models.
Day to day, you will:
Ship features to our open source repos, API, and internal tooling.
Design and build frontend features that make document parsing more interactive and understandable.
Optimize inference performance and improve the reliability of our frameworks.
Engage with the community on Github and Discord by collecting feedback, debugging issues, and identifying opportunities for improvement.
Support customer implementations with technical guidance and troubleshooting when needed.
Ideal Candidate
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.
We’re eager to work with someone who has:
5+ years of fullstack development experience building APIs and/or developer-focused products.
Experience building in early-stage startup environments.
Shipped and maintained production systems serving high-volume traffic.
Experience building with LLMs and agentic workflows.
Bonus points:
Experience with Python ML frameworks (PyTorch, Transformers, etc.) or interest in training models.
Familiarity with document processing, computer vision, or OCR systems.
Maintained or contributed to open-source projects with active communities
Experience writing technical content or demos to showcase your work.
Interview process
30-minute video call to evaluate fit
90-minute live architecture discussion
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
#J-18808-Ljbffr
Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.