Machine Learning Engineer developing LLM - powered systems at Trainline. Designing predictive ML systems, collaborating with cross - functional teams on AI initiatives.
About the role
- 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.
- Company events, retreats, and offsites.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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