Help ML teams label the right data
Lightly AG is a cutting-edge ETH and HSG spin-off specializing in machine learning and computer vision. Our platform is trusted by leading companies in autonomous driving, medical imaging, and visual inspection to curate high-quality visual data for machine learning. Based in Zurich, our small and talented team of developers, researchers, and business experts has a massive impact on our business and product. We’re backed by Y Combinator, Wingman Ventures, and Soma Capital.
At Lightly, we are committed to democratizing artificial intelligence through open-source innovation. Our flagship framework, Lightly, is the leading tool for training self-supervised and foundation models. We focus on a community-driven approach to AI development, empowering developers and organizations worldwide with the tools needed to create transformative AI solutions.
As a Machine Learning Evangelist, you will play a key role in building and nurturing a vibrant open-source community around Lightly. You will engage directly with developers, data scientists, and AI enthusiasts to promote Lightly, create compelling technical content, and contribute to our platform's ongoing development.
Community Engagement (20%)
Content Creation (40%)
Product Contribution (40%)
Nice to Have:
At the ETH spin-off Lightly, we build software solutions to help companies improve their deep learning models. The available data for deep learning grows faster than human tagging and available compute power. Our customers already face this problem and have too much data to process. As a solution, we built software to identify and work with the most relevant samples only.
We are a team of talented developers and researchers in Zurich and are backed by top investors (we will announce our fundraising soon). Every member of the team is going to have a massive impact. Thus, we are looking for an experienced engineer with lots of passion for the subject. We offer attractive cash- & equity package for you to become part-owner of Lightly. Remote work is also possible.