Job Overview

Job Title Senior Machine Learning Software Engineer

Hiring Organization Wikimedia Foundation

Company Website https://wikimediafoundation.org/

Remote Locations Worldwide

Job Type Remote, Full-Time

The Wikimedia Foundation is looking for a Senior Machine Learning Engineer to join a small team spread across UTC -5 to UTC +3 (Eastern Americas, Europe, and Africa) and will report to the Machine Learning Engineering Manager, Ilias Sarantopoulos. As a Senior Machine Learning Engineer, you will be responsible for planning, developing, training, documenting, deploying, and managing production machine learning models. In this role, you will work with product teams, SREs, researchers, and the volunteer community on machine learning models making Wikipedia and similar projects better.

Job 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 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.

Job Requirements

5+ years of experience in an MLE and/or MLOps role as part of a team deploying production models.

Experience with popular Python ML libraries.

Strong English language skills.

Experience with global coworkers.

Experience with remote work and/or async work.

Qualities that are important to us:

Able to work collaboratively on remote teams.

Experience with volunteer communities and open-source software development.

Positivity and solution focused.

Independently motivated.

Additionally, we’d love you to fit one of three skill sets:

ML infrastructure: You have interest and experience in building backend production ML systems. You understand how real world MLOps systems work and how to use infrastructure to maximize the performance of models.

Model development and maintenance: You have interest and experience converting a model from a researcher into an efficient, high performing production ML service. You understand how to expand on the work of a researcher to develop and maintain models in production.

ML product Integration: You have interest and experience in helping front-end and feature product teams effectively use machine learning models. You understand the needs and challenges of product teams using machine learning and have built services that help make ML-related work of those teams easier and faster.

How To Apply

Click “Apply” below to fill in the application form!