Lightly AG is an official ETH and HSG Spin-off in the field of machine learning and computer vision. Its products are used by leading companies in autonomous driving, medical imaging, and visual inspection to curate visual machine learning data.

Lightly consists of a small team of talented developers, researchers, and business developers in Zurich, who all have a massive impact on the business and product. The company is backed by Y-Combinator, Wingman Ventures, and Soma Capital.

Tasks

At Lightly, our mission is to drive the democratization of artificial intelligence through open-source innovation. Our flagship repository, Lightly, is the leading framework for training self-supervised and foundation models.

We believe in a community-driven approach to AI advancement and strive to empower developers and organizations with the tools they need to create transformative AI solutions. Our open-source commitment is central to this mission, fostering collaboration and innovation within the global AI community.

As a Machine Learning Evangelist at Lightly, you will be a key player in our mission to build and nurture a vibrant open-source community. You will engage directly with developers, data scientists, and AI enthusiasts to promote Lightly, create compelling technical content, and contribute to the ongoing development of our platform

Responsibilities:

Community Engagement (20% of time)

• Actively participate in community forums, including GitHub, Stack Overflow, and Slack/Discord channels, addressing questions and fostering discussions.
• Organize and host virtual meetups, webinars, and other community events to engage and grow our user base.
• Develop and manage community programs, such as ambassador or advocate initiatives, to encourage community involvement and contribution.

Content Creation (40% of time)

• Generate high-quality technical content, including blog posts, tutorials, screencasts, and conference talks that educate and inspire our community.
• Collaborate with the product and engineering teams to produce content that highlights new features, use cases, and best practices.

Product Contribution (40% of time)

• Contribute to the development of Lightly, particularly in areas related to community feedback and user experience improvements.
• Assist in the creation of product documentation and guides to ensure ease of use for new and existing users.

Requirements

Who we are looking for:

• Professional experience in machine learning or data science (2+ years preferred).
• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with open-source projects, either as a maintainer or active contributor.
• Strong written and verbal communication skills, with a demonstrated ability to create engaging technical content.
• Passion for building and nurturing community relationships and fostering a collaborative environment.
• Track record of creating content (blogs videos, tutorials, github projects)

Nice to Have:

• Experience with computer vision applications.
• Prior experience in a developer advocacy or technical marketing role.
• Familiarity with collaborative development tools (e.g., GitHub, Slack).

Important: We believe in people who are driven by curiosity and are willing to learn and take the next step. Please also reach out if you don't exactly "check all these boxes".

Benefits

• Competitive salary, depending on experience.
• Equity options to share in the success of our company.
• Flexible working hours and a remote-friendly work environment.
• Comprehensive benefits package, including financial support for sports/health, mobility, and education.
• Opportunities for professional growth and development in an innovative and supportive team.
• Optional: Office in the heart of Zurich next to the central station with Snacks
• Company events, retreats, and offsites

If you're passionate about AI and open source, and you thrive in a community-centric environment, we'd love to hear from you!

Apply Now: Please include your resume, a cover letter, and links to any relevant projects or content you've created.