Posted:
4/8/2024, 6:32:30 AM
Location(s):
United States
Experience Level(s):
Mid Level ⋅ Senior
Field(s):
AI & Machine Learning
Pay:
$155/hr or $322,400 total comp
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 career.
The Transaction Risk organization optimizes each of the billions of dollars of transactions processed by Stripe annually on behalf of our users, maximizing successful transactions while minimizing payment costs and fraud. We own products like Radar end-to-end, developing machine learning models, building fast and scalable services and creating intuitive user experiences. We serve real-time predictions as part of Stripe’s payment infrastructure and architect controls that leverage ML to optimally manage users’ business.
As a machine learning engineer, you will design and build platforms and services that are configurable and scalable around the globe. You will partner with many functions at Stripe, with the opportunity to both work on infrastructure/platform systems, as well as produce direct user-facing business impact.
We’re looking for people with a strong background and passion in building successful backend systems, services and APIs that deliver impactful product values to our customers. You are comfortable in dealing with changes. You love to take initiatives, and bias towards action.
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 requirement.
Website: https://stripe.com/
Headquarter Location: South San Francisco, California, United States
Employee Count: 1001-5000
Year Founded: 2010
IPO Status: Private
Last Funding Type: Grant
Industries: Finance ⋅ FinTech ⋅ Mobile Payments ⋅ SaaS