Aartificial intelligence, AI technology, JavaScript, Machine learning techniques, Python Programming
Overview
Over 100,000 developers build with Roboflow, but we strongly believe that is just the beginning. Every existing industry—and many new ones—will use computer vision. From diagnosing cancer more accurately to identifying new galaxies to building electric vehicles, developers are building the future we want to live in with CV. We’re building a movement around computer vision, and this role is about inspiring people to build with Roboflow.
You are a developer that, when discovering new technology, your first instinct is to build a project with it. You believe the best way to tell is to show - through building
You’re ready to devote the next part of your career to an exciting and critically important developer product, and know how to deliver features that will inspire people to spread the word about it. You don’t just want to be part of an industry movement, you want to be out front leading it.
What You’ll Do
Your long-term objectives will be helping us get computer vision on the radar of every software developer, and making them feel empowered to use computer vision without having to become a machine learning expert.
There are already over 100,000 users ofRoboflow Universe, a community where users can share datasets and pre-trained models with each other. We have thousands of publicly accessible user projects we can use to grow our audience even further. Continuing to build for this community with new features, tools, applications, integrations, and tutorials is critical to success.
Responsibilities
Combine your technical skills, passion, and enthusiasm with your creativity to generate grass-roots attention and adoption of Roboflow, including:
Roboflow is a computer vision platform that simplifies the process of building and deploying computer vision models. It provides a range of tools and features that make it easy to create, manage, and optimize computer vision workflows. Roboflow also supports a range of popular deep learning frameworks, including TensorFlow, PyTorch, and Keras, so you can easily train and deploy your computer vision models on a variety of platforms.