Roboflow

Machine Learning Research Engineer

Remote, United StatesRemoteFull timePosted 12 days ago
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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 https://blog.roboflow.com/cancer-research-computer-vision/ to accelerate cancer research, improving construction site safety https://blog.roboflow.com/preventing-accidents-on-construction-sites-with-computer-vision/, digitizing floor plans https://blog.roboflow.com/floor-plan-analysis-computer-vision/, preserving coral reef populations https://blog.roboflow.com/reefos-supercharging-coral-reef-restoration-with-ai/, guiding drone flight https://blog.roboflow.com/georeferencing-drone-videos/, and much more https://roboflow.com/templates.

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, Y Combinator, Craft Ventures, Sam Altman, Lachy Groom, amongst other leading software investors.

WHAT YOU'LL DO

As a Machine Learning Research Engineer, you will develop novel machine learning methods and contribute to the research agenda of the team. Because of Roboflow’s huge userbase, we have a unique visibility into how people are using computer vision in the real world, including in what circumstances existing methods are unable t...