Senior Site Reliability Engineer (Machine Learning Platform)

Wikimedia Foundation

Remote
  • Job Type: Full-Time
  • Function: IT
  • Post Date: 01/12/2021
  • Website: wikimediafoundation.org
  • Company Address: 149 New Montgomery St. 3rd FL, San Francisco, CA, 94105

About Wikimedia Foundation

The Wikimedia Foundation is the non-profit organization that operates Wikipedia, the free encyclopedia. According to comScore Media Metrix, Wikipedia and the other projects operated by the Wikimedia Foundation receive more than 398 million unique visitors per month, making them the 5th most popular web property worldwide (September 2010). Available in more than 270 languages, Wikipedia contains more than 17 million articles contributed by a global volunteer community of more than 100,000 people. Based in San Francisco, California, the Wikimedia Foundation is an audited, 501(c)(3) charity that is funded primarily through donations and grants. The Wikimedia Foundation was created in 2003 to manage the operation of Wikipedia and its sister projects. It currently employs 56 staff members. Wikimedia is supported by local chapter organizations in 29 countries or regions.

http://wikimediafoundation.org
http://blog.wikimedia.org

Job Description

The Wikimedia Foundation is hiring a Senior Site Reliability Engineer (SRE) to help build and support the foundation’s machine learning infrastructure.

As a Senior SRE on the Machine Learning Platform team (formerly the Scoring Platform Team), you would build an infrastructure for scaled, reliable model training, management, and deployment. This includes ORES and a new Kubernetes based system under development. The Machine Learning Platform team is responsible for all aspects of machine learning at the foundation, from maintaining deployed models to helping other teams and the community deploy models easily and ethically.

We are a fully remote team, with members spanning Pacific Time to East Africa Time and includes machine learning engineering and SRE.

You are responsible for:

  • Maintaining ORES, our current model deployment system
  • Working with the team to build a new Kubernetes based model training, management, and deployment system
  • Working with stakeholders (both inside and outside the foundation) to help them deploy models
  • Establishing what machine learning looks like at Wikimedia, both technically, culturally, and ethically

Skills and Experience:

  • 3-5 years of experience as a Site Reliability Engineer and experience working on bare metal. The foundation rarely uses SaaS cloud hosting, instead using our own servers racked in data centers.
  • Experience with Configuration Management Systems (Puppet, Ansible, …)
  • Experience with Kubernetes and Kubeflow
  • Experience with machine learning operations
  • Strong English language skills and ability to work independently, as an effective part of a globally distributed team.

The Wikimedia Foundation is... 

...the nonprofit organization that hosts and operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge, free of interference. We host the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive financial support from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.

As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.

If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at [email protected] or (415) 839-6885.

U.S. Benefits & Perks*

  • Fully paid medical, dental and vision coverage for employees and their eligible families (yes, fully paid premiums!)
  • The Wellness Program provides reimbursement for mind, body and soul activities such as fitness memberships, baby sitting, continuing education and much more
  • The 401(k) retirement plan offers matched contributions at 4% of annual salary
  • Flexible and generous time off - vacation, sick and volunteer days, plus 22 paid holidays - including the last week of the year.
  • Family friendly! 100% paid new parent leave for seven weeks plus an additional five weeks for pregnancy, flexible options to phase back in after leave, fully equipped lactation room.
  • For those emergency moments - long and short term disability, life insurance (2x salary) and an employee assistance program
  • Pre-tax savings plans for health care, child care, elder care, public transportation and parking expenses
  • Telecommuting and flexible work schedules available
  • Appropriate fuel for thinking and coding (aka, a pantry full of treats) and monthly massages to help staff relax
  • Paid travel to Wikimedia Foundation events all around the world!
  • Equipment including a laptop, monitor, plus a one-time stipend to cover any additional needs to make sure you have the best work experience
  • Great colleagues - diverse staff and contractors speaking dozens of languages from around the world, fantastic intellectual discourse, mission-driven and intensely passionate people

*Please note that for remote roles located outside of the U.S., we defer to our PEO to ensure alignment with local labor laws.

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.