Machine Learning Evangelist at Lightly (S21) $100K - $150K • 0.25% - 0.75% Help ML teams label the right data Zürich, ZH, CH / Remote (US) Full-time US citizen/visa only 3+ years About Lightly 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. About the role About Lightly AG 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. Our Mission 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. The Role: Machine Learning Evangelist 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. Responsibilities Community Engagement (20%) Actively participate in forums such as GitHub, Stack Overflow, and Slack/Discord channels to address questions and foster discussions. Organize and host virtual meetups, webinars, and community events to engage and grow our user base. Develop community programs, such as ambassador or advocate initiatives, to encourage community involvement and contributions. Content Creation (40%) Produce high-quality technical content, including blog posts, tutorials, screencasts, and conference talks. Work with product and engineering teams to highlight new features, use cases, and best practices. Product Contribution (40%) Contribute to Lightly's development, focusing on areas driven by community feedback and user experience improvements. Assist in creating documentation and guides to ensure ease of use for new and existing users. Requirements 2+ years of professional experience in machine learning or data science. Bachelor’s or Master’s degree in Computer Science, Data Science, or related fields. Proficiency in Python and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Experience with open-source projects, either as a maintainer or active contributor. Strong written and verbal communication skills with a talent for creating engaging technical content. Passion for building community relationships and fostering a collaborative environment. Nice to Have: Experience with computer vision applications. Previous experience in developer advocacy or technical marketing. Familiarity with collaborative tools (e.g., GitHub, Slack). Benefits Competitive Salary: Based on experience. Equity Options: Share in the success of our company. Flexible Working Hours: A remote-friendly environment. Comprehensive Benefits: Support for sports/health, mobility, and education. Growth Opportunities: Professional development in a supportive team. Office Perks: Optional office in central Zurich or remote WeWork subscription, snacks included. Company Events: Regular retreats and offsites. Technology We use a modern stack of: PyTorch, Python, and C++ for machine learning Typescript, React and NodeJS for our frontend and backend Docker, Kubernetes, Terraform Google Cloud Platform, AWS