About Roboflow
Roboflow is a venture-backed SaaS startup that empowers innovators all over the world to build, train, and deploy computer vision models. Roboflow believes that computer vision is a foundation technology that will transform nearly every industry. We currently have over 250,000 users, including half of the Fortune 100. Roboflow has enabled our customers to accelerate cancer research, conduct experiements in space, accelerate the world’s transition to green energy, and improve the retail experience (to name a few!) with world-altering technology. Investors like Y Combinator, David Sack’s Craft Ventures, Lachy Groom, the founders of OpenAI (Sam Altman and Greg Brockman), and many others back Roboflow.
Roboflow is rapidly expanding our engineering team to address the groundswell of user and customer needs. Soon, every developer will have computer vision as a tool in their toolbox. Roboflow will be for computer vision what Microsoft was for the PC and Google was for the Internet.
The Opportunity
We’re looking for strong technical generalists to contribute to our core product and help us build the foundation for our rapidly expanding company.
As an integral part of our early team, this role will inevitably involve wearing a lot of hats. Wide-ranging curiosity and enthusiasm for diving into abstract problems, coming up with good solutions, and seeing them through to completion is essential.
Our core belief is that computer vision is a foundational technology that is going to transform nearly every industry. This is an opportunity to shape how millions of developers will experience and use it for the first time. Your contribution will have a massive impact.
The Role
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).
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).
Example Projects
- Creating a filtering interface so our users can mix and match their images based on metadata like the time of day they were captured, the GPS location, or custom tags they’ve applied.
- Expanding our annotation tool to support new functionality (like polygonal annotations image segmentation).
- Integrating the core app with external APIs for things like outsourcing annotation tasks and analyzing deployed model performance.
- Streamlining our onboarding flow.
- Deeper integrations with our other products like Roboflow Universe and our REST API.
- Next-generation model assisted labeling.
- Optimizing speed and scalability.
