Full Stack Engineer (Enterprise)

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.

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.

Roboflow is supported by great customers and investors, having raised over 63 million from Y Combinator, Google Ventures, Craft Ventures, Sam Altman, Lachy Groom, amongst other leading software investors.

Roboflowers are passionate builders who value ownership, accountability, and a bias toward action. We're curious, hands-on with new tech, and prefer showing our work over talking about it. Many of us have a founder mindset and thrive in our high-autonomy environment.

What You'll Do As a member of the Enterprise team, you'll be tasked with creating new features and making improvements anywhere in the Roboflow product. 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 will also help support and make improvements to our enterprise Jetson inference pipeline, so a solid foundation in Linux is highly desirable.

The Enterprise team forms close relationships with Enterprise customers to deeply understand their needs and advance their usage and success with Roboflow. You should expect to frequently be on-site with customers, doing factory tours, and building features needed to make prospective and current customers successful in Computer Vision with Roboflow.

As a member of the Enterprise team, you will also partner closely with the Field Engineering team. Not only to understand and expand partnerships with customers, but to identify opportunities to make the Field Engineers more efficient in collecting visual data and delivering insights to customers based on that data.

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 increasing engagement and success of enterprise customers. 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...