Machine Learning Evangelist at AI startup promoting open-source community and creating technical content. Engaging with developers and data scientists to enhance AI solutions and development.
Responsibilities
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.
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.
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
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.
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).
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.
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