AI Community Builder
Vor 4 Tagen
We are seeking a highly motivated Machine Learning Evangelist to join our team at Lightly AG, an ETH and HSG Spin-off in the field of machine learning and computer vision.
About UsOur mission is to drive the democratization of artificial intelligence through open-source innovation. We strive to empower developers and organizations with the tools they need to create transformative AI solutions.
We believe in a community-driven approach to AI advancement and foster collaboration and innovation within the global AI community. As a key player in our mission, 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:- Actively participate in community forums, addressing questions and fostering discussions, and develop and manage community programs to encourage community involvement and contribution (20% of time).
- Generate high-quality technical content, including blog posts, tutorials, screencasts, and conference talks that educate and inspire our community (40% of time).
- Contribute to the development of Lightly, particularly in areas related to community feedback and user experience improvements, and assist in the creation of product documentation and guides to ensure ease of use for new and existing users (40% of time).
- 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.
- $120,000 - $180,000 annual 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.
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