Stripe is a financial infrastructure platform for businesses. Millions
of companies—from the world’s largest enterprises to the most ambitious
startups—use Stripe to accept payments, grow their revenue, and
accelerate new business opportunities. Our mission is to increase the
GDP of the internet, and we have a staggering amount of work ahead. That
means you have an unprecedented opportunity to put the global economy
within everyone’s reach while doing the most important work of your
The Machine Learning Infrastructure organization provides infrastructure
and support to run machine learning workflows and ship to production,
tooling and operational capacity to accelerate the use of these
workflows, and opinionated technical guidance to guide our users onto
You will work closely with machine learning engineers, data scientists,
and platform infrastructure teams to build the powerful, flexible, and
user-friendly systems that substantially increase ML-Ops velocity
across the company.
We’re looking for someone who meets the minimum requirements to be
considered for the role. If you meet these requirements, you are
encouraged to apply. The preferred qualifications are a bonus, not a
The annual US base salary range for this role is $240,600 - $339,700. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.
Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.
South San Francisco HQ, or Seattle
Remote in United States
Data & Data Science