Senior Machine Learning Software Engineer
Company: WiMLDS Inc
Location: San Francisco
Posted on: November 1, 2024
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Job Description:
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.
You are responsible for:
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.Skills and Experience:
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 fitoneof 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.About the Wikimedia FoundationThe Wikimedia Foundation
is the nonprofit organization that 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 freely. We host Wikipedia and 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 donations 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.
The Wikimedia Foundation is a remote-first organization with staff
members including contractors based 40+ countries*. Salaries at the
Wikimedia Foundation are set in a way that is competitive,
equitable, and consistent with our values and culture. The
anticipated annual pay range of this position for applicants based
within the United States is US$109,047to US$169,455with multiple
individualized factors, including cost of living in the location,
being the determinants of the offered pay. For applicants located
outside of the US, the pay range will be adjusted to the country of
hire. We neither ask for nor take into consideration the salary
history of applicants. The compensation for a successful applicant
will be based on their skills, experience and location.
*Please note that we are currently able to hire in the following
countries:Australia, Austria, Bangladesh, Belgium, Brazil, Canada,
Colombia, Costa Rica, Croatia, Czech Republic, Denmark, Egypt,
Estonia, Finland, France, Germany, Ghana, Greece, India, Indonesia,
Ireland, Israel, Italy, Kenya, Mexico, Netherlands, Nigeria, Peru,
Poland, Singapore, South Africa, Spain, Sweden, Switzerland,
Uganda, United Arab Emirates, United Kingdom, United States of
America and Uruguay. Our non-US employees are hired through a local
third party Employer of Record (EOR).
We periodically review this list to streamline to ensure alignment
with our hiring requirements.
All applicants can reach out to their recruiter to understand more
about the specific pay range for their location during the
interview process.
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 recruiting@wikimedia.org or
+1 (415) 839-6885.
More information
U.S. Benefits & PerksWikimedia FoundationApplicant Privacy
PolicyNews from across the Wikimedia movementBlogWikimedia 2030Our
Commitment to EquityThis is Wikimedia FoundationFacts MatterOur
ProjectsOur Tech Stack
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Keywords: WiMLDS Inc, Sacramento , Senior Machine Learning Software Engineer, IT / Software / Systems , San Francisco, California
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