Lead Machine Learning Software Architect

5 days ago


San Francisco, California, United States WiMLDS Inc Full time
Job Description

We are seeking a highly skilled Senior Machine Learning Software Engineer to join our team at WiMLDS Inc.

About the Role:

The successful candidate will be responsible for planning, developing, training, documenting, deploying, and managing production machine learning models. This includes working with internal and external customers to build, deploy, and manage scaled machine learning models, communicating with customers early to assess needs, and helping other teams understand the work conducted on the team.

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.

Desirable Skills:

  • Able to work collaboratively on remote teams.
  • Experience with volunteer communities and open-source software development.
  • Positivity and solution-focused.
  • Independently motivated.

Salary and Benefits:

The anticipated annual pay range for this position is US$109,047 - US$169,455, based on location, skills, and experience. The Wikimedia Foundation is a charitable organization that relies on donations, but we offer competitive salaries and benefits to our employees.

About the Wikimedia Foundation:

The Wikimedia Foundation is a nonprofit organization that operates Wikipedia and other free knowledge projects. Our mission is to make knowledge accessible to everyone, everywhere. We believe that everyone has the potential to contribute something valuable to our shared knowledge, and we strive to create a world where everyone can access that knowledge freely.

What We Offer:

  • A diverse and inclusive work environment.
  • Competitive salaries and benefits.
  • The opportunity to work on complex and challenging projects.
  • A commitment to equity and inclusion.

How to Apply:

If you are a qualified applicant and would like to learn more about this opportunity, please contact us at recruiting@wikimedia.org or +1 (415) 839-6885.



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