Algorithms, Apache Kafka, DevOps, JavaScript, Machine learning techniques, NoSQL, SQL, UI design, UX design
About Stripe
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.
About the team
Before Stripe, every growing internet platform had a payments team. Today, every growing internet platform has an Identity team. Stripe Identity is building a service that enables merchants to seamlessly verify their customers while scaling globally with ease. We believe Identity is a core piece of economic infrastructure for online businesses, just like payments.
Great Identity solutions not only enable complex, highly regulated businesses to work with ease on the internet, but they also effectively keep merchants and consumers in the internet economy. Stripe Identity’s mission is to become the easiest way to verify a real-world identity on the internet.
What you’ll do
We are looking for Machine Learning Engineers to own the end-to-end lifecycle of applied ML model development and deployment in service of consumer facing products like Stripe Identity and Link. You will partner with ML engineers, product engineers, and xfn partners to define the scope of high-impact ML projects - from ideation to execution.
Responsibilities
Who you are
We’re looking for ML engineers with a background and passion for building products and services incorporating applied ML technologies. You are comfortable in dealing with changes. You love to take initiatives, have bias towards action, and enjoy sharing learnings with others.
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.
Minimum requirements
Preferred qualifications
Hybrid work at Stripe
Our Chicago, Dublin, and Singapore teams spend at least 50% of their time in their local offices. We believe that more in-person interactions will contribute to better results for our employees and Stripe. Increased office time allows for improved collaboration, efficiency, and informal learning opportunities, fostering a stronger community and building our culture. We will apply the insights gained from these initial three locations to continue refining our hybrid approach.
Pay and benefits
The annual US base salary range for this role is $205,700 - $278,300. 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.
Stripe, Inc. is an Irish-American financial services and software as a service (SaaS) company dual-headquartered in San Francisco, United States and Dublin, Ireland. The company primarily offers payment processing software and application programming interfaces (APIs) for e-commerce websites and mobile applications.
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