This is the same posting as our generalist Full Stack Engineer position, but with a specific focus on ML Edge Deployments.
Make sure to play around with Inference before your interview!

WHO WE ARE

Our mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the software we use, too.
At Roboflow, we’re building the tools, community, and resources needed to make the world programmable with artificial intelligence. Roboflow simplifies building and using computer vision models. Today, over 1M developers, including those from half the Fortune 100, use Roboflow’s machine learning open source and hosted tools. That includes counting cells to accelerate cancer research, improving construction site safety , digitizing floor plans , preserving coral reef populations , guiding drone flight , and much more .
Our team is small relative to our impact, and we believe our user success is our success (not the inverse). A team member summarized: “Roboflow is a company full of giant brains and tiny egos.” We find software has a multiplier effect on all roles (not only product and engineering), so Roboflow employs developers across the company in design, sales, customer support, marketing, and beyond.
We’re supported by great customers and investors, having raised over $63 million from Google Ventures (check out our Series B announcement here !), Y Combinator, Craft Ventures, Sam Altman, Lachy Groom, amongst other leading software investors.

WHAT WE’RE LOOKING FOR

Primarily, you like to make great things with passionate colleagues. You are someone that likes to own outcomes, not only inputs. You’re motivated by having responsibility and accountability. You’re eager to ‘do the work,’ big and small.
You’re curious and learning about new technologies, perhaps an early tinkerer with ChatGPT and AI products. You show more than you tell.
You’re motivated by the question, “How can I improve this?” and have a track record of doing so, even in ways adjacent to your role. Much of our current team is made up of former founders and thrive in the level of autonomy at Roboflow. Maybe you had a side hustle in high school or college.
Many Roboflowers have used our tools before joining. One of the best ways to stand out amongst other applicants is to write about something you have built with Roboflow or contribute to one of our open source projects.
We’re looking for strong technical generalists to contribute to our core product and help us build the foundation for our rapidly expanding company.

LEARN MORE ABOUT US

We are building a diverse Satellite team that is distributed across the globe. Roboflow is an equal opportunity workplace; we welcome people from all backgrounds, communities, and experiences.
We provide competitive compensation and stellar benefits to accelerate your personal and work life. Learn more about what it is like to work at Roboflow by reading these blog posts.

You’ll be tasked with a wide range of projects. Each engineer has a realm they focus on, but we’re still small enough that we don’t have the luxury of deep specialization. We’re looking for technical generalists that aren’t afraid to dive into a new stack or toolchain if the need arises (but JavaScript and Node.js make up the brunt of the existing codebase).
Most of the things we work on are parts of the core product (which is an end-to-end pipeline for building computer vision projects spanning from image ingestion to annotation to training and deployment) but from time to time we’re also working on things like integrating marketing and sales tools, fighting fires, automating internal processes, and open source projects.
You’ll have a wide degree of freedom to advocate for which projects you think should be highest priority and will contribute to our strategy decisions. If you need a rigid list of tasks spelled out in a multi-month roadmap, this role probably won’t be a good fit.
The majority of our codebase is written in JavaScript, our machine learning and image processing pipeline is in Python. We run primarily on Firebase and GCS, with some machine learning infrastructure on AWS. We’re increasingly using Docker (both internally and for customer facing products like our edge inference server). A lot of our code runs in the browser (including some Tensorflow JS) but we’re also working on building APIs and client libraries in several languages.
You certainly don’t need to be experienced in all of these areas; but should be excited to learn new skill sets as you need them. We also hope you’ll bring some new knowledge and experiences you can share to help level-up the rest of the team.
We’re especially keen to add some rigor to our processes and build the foundation for rapidly scaling the engineering organization (for example: we currently have limited tests and are not using an opinionated front-end framework - things that will need to change over the coming months in order to be able to seamlessly expand the team).