This Machine Learning Engineer, Link job is with Stripe in New York. This is full-time work at Stripe's location. No pay range is included in the posting.
Here is the role as Stripe describes it.
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.
Link is a digital wallet designed for fast and secure online payments. It allows consumers to save and use their preferred payment methods across the Link network, helping them check out quickly and securely wherever Link is accepted.
The Link Fraud and Auth team works to make Link the most trusted and highest-performing way to pay. We protect consumers and merchants from fraud, abuse, and financial loss while maximizing authorization rates for good users. Our work spans consumer-facing experiences, payment infrastructure, and ML powered risk systems.
We manage fraud and financial risk across a growing range of novel Link features, including Link’s agentic wallet, stored balance, and LPMs. The team also owns Instant Bank Payments, a proprietary payment method built on ACH rails, offering merchants immediate confirmation while protecting them from bank-initiated returns. IBP is the heart of Link’s revenue engine, giving LFA engineers the opportunity to shape and scale one of Link’s most important products.
As a machine learning engineer on Link Fraud and Auth, you’ll build and operate models and risk decisioning systems that protect Link while helping more legitimate payments succeed. You’ll work across the full machine learning lifecycle, from analyzing fraud patterns and identifying opportunities to building, deploying, monitoring, and improving models in production. You’ll use data to form hypotheses, make practical modeling choices, and define technical direction in partnership with Engineering, Product, and Data Science. Your work will directly influence Link’s fraud performance, authorization rates, and ability to expand into new products and payment experiences.
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.
Stripe has not included pay in the posting.
No, it is an on-site job in New York.
The posting mentions at least 6 years of relevant experience and skills such as Python, SQL, Rails and Spark. Read the full description above for the complete list.
Use the apply button on this page. It takes you to Stripe's own application form, so your CV goes directly to their hiring team.
Stripe published the role on September 21, 2026. We check the employer's job board every day and take this page down when the role closes, so if you can read it, the job was still listed at our last check.
Source: Stripe careers page (stripe.com). Applications go straight to the employer. We check the listing daily and remove it once it closes.
Stripe publishes its open roles on its own careers board. This page collects the Stripe jobs that are live right now. Each listing links to Stripe's application form, and we remove a listing once the employer closes it.
Industry: Finance & Banking
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