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Join the team. Machine learning is the most transformative technology of our lifetime. Your work will shape its adoption.
Computer vision is the input that software relies on to (re)write how we interact with the world around us. Developers need it to be broadly accessible.
Over 100,000 developers build with Roboflow’s tools, but that’s a small fraction of how many will need to. Every existing industry—and many new ones—will use computer vision. From diagnosing cancer more accurately to identifying new galaxies to building electric vehicles, engineers are building the future we want to live in with CV.
You can work from anywhere in the world, though you have the opportunity to co-locate with team members often through various onsites, lighthouses (sporadic coworking in cities of your choosing ), or other team members in your area. We call it remote, not distant.
We hire “full stack people.” You own an outcome and possess (or eagerly learn) the skills to deliver it. As an engineer, that may mean understanding a feature, writing it, and documenting it for users. In growth, that could include building example projects, sharing them, and driving their adoption.
We offer industry leading benefits, so you can focus on doing your best work (including 401k, covering up to 100% of your healthcare premium, and a productivity stipend to cover the tools you need to do your best work, like your home internet bill or co-working pass).
Roboflow is rapidly expanding our engineering team to address the groundswell of user and customer needs. Over 100,000 developers (spanning from students to individual hackers & hobbyists to startups to employees of some of the world’s biggest companies) have now used Roboflow to build computer vision projects. 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.
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.
To give you an idea of what it will be like to work here, here are a few projects you might work on in your first few months:
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.
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).
We're a tightly-knit and highly technical team. As a startup, speed and decisiveness are important; we try to demonstrate that during the hiring process.
We aim to screen, interview, make a decision, send and finalize an offer within 2 weeks of application.