Machine Learning Evangelist AI Startup
Machine Learning Evangelist AI Startup
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Salary Not Disclosed
1 Vacancy
Job Description
Lightly AG is an official ETH and HSG Spinoff 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 YCombinator Wingman Ventures and Soma Capital.
Tasks
At Lightly our mission is to drive the democratization of artificial intelligence through opensource innovation. Our flagship repository Lightly is the leading framework for training selfsupervised and foundation models.
We believe in a communitydriven approach to AI advancement and strive to empower developers and organizations with the tools they need to create transformative AI solutions. Our opensource 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 opensource 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 highquality 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).
- Bachelors or Masters degree in Computer Science Data Science or a related field.
- Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow PyTorch or scikitlearn.
- Experience with opensource 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).
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 dont 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 remotefriendly 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 youre passionate about AI and open source and you thrive in a communitycentric environment wed love to hear from you!
Apply Now: Please include your resume a cover letter and links to any relevant projects or content youve created.
Employment Type
Full Time
