Wikimedia Foundation · 2 days ago
Senior Machine Learning Engineer
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Software Development
Comp. & BenefitsNo H1B
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Responsibilities
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, scaled 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 in 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.
Qualification
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Required
5+ years of experience in an MLE and/or MLOps role as part of a team maintaining production models
Experience with popular Python ML libraries
Strong ML background, particularly solving NLP tasks
Strong English language skills
Experience with global coworkers
Experience with remote work and/or async work
Preferred
Experience in fine-tuning pre-trained models
Familiarity with ETL processes and data pipeline orchestration
Experience with any pipeline orchestration tool (Airflow, Kubeflow, Argo workflows etc)
Company
Wikimedia Foundation
Wikimedia Foundation encourages the development and distribution of free educational content with projects such as Wikipedia.
Funding
Current Stage
Late StageTotal Funding
$158.98MKey Investors
Alfred P. Sloan FoundationCraig Newmark PhilanthropiesGoogle.org
2020-01-01Grant· $2.1M
2019-09-10Grant· $2.5M
2019-01-22Grant· $1.1M
Leadership Team
Recent News
2024-11-06
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