Full Stack Engineer

Roboflow is revolutionizing the computer vision landscape by making it accessible to developers worldwide. As a Full Stack Engineer, you'll join a team of ~60 talented individuals working on a platform that serves over 1M+ developers, including half of the Fortune 100 companies.

The role offers a unique blend of technical challenges and creative freedom, where you'll work on an end-to-end pipeline for building computer vision projects. From image ingestion to annotation, training, and deployment, you'll have the opportunity to shape how developers interact with computer vision technology.

Our tech stack primarily consists of JavaScript and Node.js for the frontend and Python for machine learning and image processing. We utilize Firebase and GCS for our main infrastructure, with some ML workloads on AWS. You'll also work with Docker for both internal and customer-facing deployments, and help build APIs and client libraries in various languages.

What makes this role special is the impact you'll have. Our users range from cancer researchers accelerating their work to conservationists preserving coral reefs. You'll be part of a team that's backed by prestigious investors like Y Combinator, Google Ventures, and OpenAI founders, with over $63 million in funding.

We offer a flexible, distributed work environment with hubs in New York City and San Francisco. You'll have the freedom to work where you're most productive, whether that's from home, a co-working space, or one of our hubs. We provide a $4000/yr travel stipend to facilitate in-person collaboration with team members.

The ideal candidate is a technical generalist who's excited about learning new technologies and contributing to a rapidly growing platform. You'll have the autonomy to advocate for projects you believe in and help shape our engineering practices as we scale. If you're passionate about making complex technology accessible and want to work with a team that values both technical excellence and user success, this role offers an exceptional opportunity to make a significant impact in the field of computer vision.