Summary
Date Posted: Monday, April 11, 2022 , Base Salary: Not Disclosed

JOB DETAILS:
Overview
You are responsible for:
• Working with internal customers (e.g. other teams inside the Wikimedia Foundation) and external customers (e.g. Wikipedia editors and other volunteers) to build, deploy, and manage productionized, scabled machine learning models. This includes communicating with the customers early to assess needs, working with them to scope out the appropriate tooling that might be needed, gathering the training data, training the model is a repeatable process, deploying the model on a deployment cluster, and monitoring that model over time.
• Helping other teams at the Foundation and the broader community understand the work conducted on the team.

Skills and Experience:
• 5+ years of experience in an MLE/MLOps role as part of a team deploying production models.
• Experience planning, developing, training, documenting, deploying, and managing production machine learning models
• Experience with popular Python ML libraries like Scikit-Learn, XGBoost, etc.
• Strong English language skills and ability to work independently, as an effective part of a globally distributed team
Qualities that are important to us:
• Professionalism
• Positivity and solution focused
• Independently motivated
Additionally, we'd love it if you have:
• Experience with Docker, Kubeflow, or other MLOps systems
• Experience with volunteer communities and open source software development
• Experience with global coworkers
• Experience with remote work and/or async work


Education Requirement: No Requirements

Work Hours: 8

Experience in Months: 60

Job application procedure
Interested and qualified? Go to Wikimedia Foundation on boards.greenhouse.io to apply

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