API, JavaScript, Machine learning techniques, Python Programming, SaaS
Overview
Over 100,000 developers build with Roboflow, many of whom are making their first foray into computer vision. That’s only the beginning. Our users accelerate cancer research, discover new galaxies, and even keep raccoons out of their gardens with computer vision. 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 deeply believe conveying a message in a way that’s authentic, compelling, and useful to the audience is important to the growth of developer focused technologies.
You’re ready to devote the next part of your career to an exciting and critically important developer product, and know how to create and foster a web of people and connections 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 developer, and making them feel empowered to use it in their products and applications — even if they are new to machine learning.
We have a solid foundation on which to build. There are 100,000 public projects built with Roboflow and an engaged community of users. Continuing to engage and inspire this community with new content is critical to success.
You are not joining a team to ‘be managed’ -- we all, including the founders, play an operational role and we are looking to add another doer, not a strategizer or delegator.
Requirements of this role include:
Responsibilities
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.