Senior Machine Learning Engineer

Summary

Join the Wikimedia Foundation as a Senior Machine Learning Engineer and contribute to improving Wikipedia and related projects. You will be part of a globally distributed team, collaborating with various stakeholders to develop, deploy, and maintain production machine learning models. This role involves working with internal and external customers to understand their needs, gather data, train models, and monitor performance. The ideal candidate possesses extensive experience in machine learning engineering and MLOps, particularly in NLP tasks, and excels in collaboration within remote and diverse teams. The Wikimedia Foundation offers a competitive salary and benefits package.

Requirements

• 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

Responsibilities

• Work with internal and external customers 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
• Help other teams at the Foundation and the broader community understand the work conducted on the team

Preferred Qualifications

• 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)
• Experience with volunteer communities and open-source software development

Benefits

Competitive salary (US$ 109,047 to US $169,455 annually for US-based applicants; adjusted for other countries)