{"id":17675,"url":"https://alion.io/job/datalab-senior-software-engineer","title":"Senior Software Engineer","company":{"id":5215,"name":"Datalab","domain":"datalab.com","url":"https://alion.io/company/datalab","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":225000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Anthropic","optional":false},{"name":"Discord","optional":false},{"name":"ElevenLabs","optional":false},{"name":"GitHub","optional":false},{"name":"Hugging Face","optional":false},{"name":"OCR","optional":false},{"name":"OpenAI","optional":false},{"name":"Computer Vision","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-07-06T19:43:22Z","employer_posted_date":"2026-07-06","last_verified_at":"2026-10-16T11:08:28Z","board_verified":true,"closed_at":null,"days_open":101,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":101},"description":"Salary range: $225k - $300k | Equity: 0.15% - 0.35% | In-Person: NYC\nAbout Datalab\nDatalab 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.\nWe’re at high 7-figure ARR. Anthropic, Legora, Booz Allen, and ElevenLabs are customers. 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.\nRole Overview\nWe’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.\nThis 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.\nAs 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.\nDay to day, you will:\nShip features to our open source repos, API, and internal tooling.\n\nDesign and build frontend features that make document parsing more interactive and understandable.\n\nOptimize inference performance and improve the reliability of our frameworks.\n\nEngage with the community on Github and Discord by collecting feedback, debugging issues, and identifying opportunities for improvement.\n\nSupport customer implementations with technical guidance and troubleshooting when needed.\n\nIdeal Candidate\nYou 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.\nWe’re eager to work with someone who has:\n5+ years of fullstack development experience building APIs and/or developer-focused products.\n\nExperience building in early-stage startup environments.\n\nShipped and maintained production systems serving high-volume traffic.\n\nExperience building with LLMs and agentic workflows.\n\nBonus points:\nExperience with Python ML frameworks (PyTorch, Transformers, etc.) or interest in training models.\n\nFamiliarity with document processing, computer vision, or OCR systems.\n\nMaintained or contributed to open-source projects with active communities\n\nExperience writing technical content or demos to showcase your work.\n\nInterview process\n30-minute video call to evaluate fit\n\n90-minute live architecture discussion\n\nCulture fit interviews with the team\n\nAt this stage of the company, every interview is somewhat custom, so these phases may be rearranged slightly.\nEqual opportunity\nDatalab is an equal opportunity employer. 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