Job Location : San Francisco,CA, USA
Join to apply for the Full Stack Engineer (Enterprise Focus) role at Roboflow
Join to apply for the Full Stack Engineer (Enterprise Focus) role at Roboflow
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This range is provided by Roboflow. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$165,000.00/yr - $195,000.00/yr
Who We AreOur 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 ForPrimarily, 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.We're hiring an enterprise focused engineer to help make Roboflow the best possible platform for enterprise computer vision, and expand partnerships with our enterprise customers. You should have strong communication skills, and a track record of success building computer vision applications and a desire to drive innovation in an enterprise setting.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.What You'll DoAs 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 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.Example Projects
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