Datalab
Senior Software Engineer
We’re looking for a Fullstack Engineer to join our team and help us build tools that make it easier for people to use our models. This includes inference frameworks, but also visual tools to make document parsing more interactive.
About us We’re an AI research lab for data. We do meaningful research, ship product, and contribute to open source. Our 4 person team has reached 7-figure ARR, with ~5x growth so far in 2025.
We build SoTA document intelligence models with novel architectures. Our tools Surya and Marker have accumulated over 42K stars collectively.
Our customers include tier 1 AI research labs, fast-growing startups, universities, and governments. We recently raised a seed round from founding members of OpenAI, FAIR, and Huggingface (announcing soon).
We’re looking to work with people who are low-ego, collaborative, and get things done.
Role Overview Fullstack Engineer responsibilities:
Ship features to our open source repos and API
Optimize inference performance
Design and ship frontend features
Interact with and foster our growing community by collecting feedback and resolving issues (we interact with them through Discord and on Github).
Ideal Candidate We’re looking for someone who enjoys building, interacting with users, and bridging the gap between models and user interfaces. Open source experience is a big bonus.
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 or hyper-growth startup environments
Shipped a large-scale product to production, supporting tens of thousands of active users
Proven experience in engaging with customers for feedback and iteration
Bonus points if you :
Demonstrate strong technical skills through open source projects
Have experience with document processing
Are interested in AI and training models (prior experience not necessary)
Technology Stack We believe in the simplest possible technology that gets the job done. Our stack is FastAPI (Python) for the backend and frontend, with some light HTMX and JS sprinkled in. We use Postgres and Redis, and deploy to Render. For our API, training, and inference, we mostly use Python and Pytorch.
We have a BYOD (bring-your-own-device) policy, but are also happy to offer a company sponsored laptop. You’re also welcome to choose the operating system that works best for you!
Workplace & Culture Our culture is collaborative, low-ego, and high on GSD. We aim to keep the team as small as possible, for less politics and more meaningful work.
We work out of an Industrious coworking space in Prospect Heights, Brooklyn. We value in-person collaboration, and we’re in the office most of the time.
We care about the details of how our tools are used and who is using them. It’s the big reason why we’re open source first - it enables us to have a broader impact.
Interview process 30-minute video call to evaluate fit
Paid take-home project (~10 hours, $1000) - and yes, we actually do pay!
1 hour follow-up meeting to discuss the project
Culture fit interviews with the team At this stage of company, every interview is somewhat custom, so these phases may be rearranged slightly.
Contact Whether you’re interested in applying for one of our open roles or connecting about future opportunities, we’re eager to hear from you! Email us at careers@datalab.to - we read every message.
P.S., We love to nerd out, so please include a link to something you’ve built or a paper you’ve published!
#J-18808-Ljbffr
About us We’re an AI research lab for data. We do meaningful research, ship product, and contribute to open source. Our 4 person team has reached 7-figure ARR, with ~5x growth so far in 2025.
We build SoTA document intelligence models with novel architectures. Our tools Surya and Marker have accumulated over 42K stars collectively.
Our customers include tier 1 AI research labs, fast-growing startups, universities, and governments. We recently raised a seed round from founding members of OpenAI, FAIR, and Huggingface (announcing soon).
We’re looking to work with people who are low-ego, collaborative, and get things done.
Role Overview Fullstack Engineer responsibilities:
Ship features to our open source repos and API
Optimize inference performance
Design and ship frontend features
Interact with and foster our growing community by collecting feedback and resolving issues (we interact with them through Discord and on Github).
Ideal Candidate We’re looking for someone who enjoys building, interacting with users, and bridging the gap between models and user interfaces. Open source experience is a big bonus.
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 or hyper-growth startup environments
Shipped a large-scale product to production, supporting tens of thousands of active users
Proven experience in engaging with customers for feedback and iteration
Bonus points if you :
Demonstrate strong technical skills through open source projects
Have experience with document processing
Are interested in AI and training models (prior experience not necessary)
Technology Stack We believe in the simplest possible technology that gets the job done. Our stack is FastAPI (Python) for the backend and frontend, with some light HTMX and JS sprinkled in. We use Postgres and Redis, and deploy to Render. For our API, training, and inference, we mostly use Python and Pytorch.
We have a BYOD (bring-your-own-device) policy, but are also happy to offer a company sponsored laptop. You’re also welcome to choose the operating system that works best for you!
Workplace & Culture Our culture is collaborative, low-ego, and high on GSD. We aim to keep the team as small as possible, for less politics and more meaningful work.
We work out of an Industrious coworking space in Prospect Heights, Brooklyn. We value in-person collaboration, and we’re in the office most of the time.
We care about the details of how our tools are used and who is using them. It’s the big reason why we’re open source first - it enables us to have a broader impact.
Interview process 30-minute video call to evaluate fit
Paid take-home project (~10 hours, $1000) - and yes, we actually do pay!
1 hour follow-up meeting to discuss the project
Culture fit interviews with the team At this stage of company, every interview is somewhat custom, so these phases may be rearranged slightly.
Contact Whether you’re interested in applying for one of our open roles or connecting about future opportunities, we’re eager to hear from you! Email us at careers@datalab.to - we read every message.
P.S., We love to nerd out, so please include a link to something you’ve built or a paper you’ve published!
#J-18808-Ljbffr