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Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment. Over 1 million engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. We now host the largest collection of open source computer vision datasets and pre-trained models. We are pushing forward the CV ecosystem with open source projects like RF-DETR and Supervision. We've raised $63M+ from leading investors. Our mission is to make the world programmable by democratizing computer vision. We are committed to open source and community-driven innovation. We offer a range of tools including dataset management, model training, and deployment to the cloud and edge. Our platform is interoperable and designed for builders, allowing you to deploy vision AI applications quickly and reliably. We are particularly focused on making computer vision accessible to software developers and machine learning engineers, enabling them to integrate vision AI into their products with ease. We are also home to one of the largest collections of open source computer vision datasets and pre-trained models, hosting over 500 million images and 150,000 models. Our team is roughly 1/3 former founders, including those that have previously sold companies for 100M+ or led 100+ person engineering teams. We are building a magnetic environment for exceptional talent by offering full-stack roles, autonomy, and a strong focus on outcomes. Our culture emphasizes curiosity, craftiness, and commitment, and we are committed to supporting our employees with comprehensive benefits including parental leave, competitive salaries, equity, and a $4,000 travel stipend for distributed work. We are based in San Francisco and New York, but offer fully remote opportunities as well.
Job Title | Date |
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Implementation Engineer | July 9 |
Solutions Architect | July 9 |