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

The ML Serving team enables product and business teams to productionize machine learning solutions to their problems. We elevate their ambition by making it easy to scale ML solutions to hundreds of markets and segments.

What you’ll do

You will work closely with software engineers, data scientists, PMs, and machine learning engineers to develop experimentation programs across Stripe that lift metrics or improve safety of code and model changes. You will build and maintain the A/B testing, reducing friction, scaling up, and adding features to meet the needs of these programs.

Responsibilities

Build Infrastructure, APIs and UIs to enable ML Serving at Stripe with high availability and low latency.
Work closely with ML engineers, data scientists, and platform infrastructure teams to build the powerful, flexible, and user-friendly systems that substantially increase ML velocity across the company.

Who you are

You enjoy partnering with other teams, and are excited about solving complex business problems. You’re comfortable working on distributed teams with teammates, users, and dependencies in different locations.

It’s not expected that any candidate would have expertise across every area. For instance, we have wonderful team members that have a lot of data science experience, but didn’t come in with as much systems knowledge.

Minimum requirements

3-5 years of experience building software applications in large scale distributed systems.
Experience running operations for high availability, low latency systems.
Experience working through the full life cycle of software development, from talking to users, to design and implementation, to testing and deployment, to operations.
Enjoy partnering with other teams to drive business outcomes.

Preferred qualifications

At least two years of experience running A/B tests or building experimentation platforms.
Familiarity with the data science of advanced experimentation, including multi-armed bandit testing.

This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).

Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.

A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live.

The annual US base salary range for this role is $150,500 - $269,200. 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.

Office locations

Seattle, South San Francisco HQ, New York, or Chicago

Remote locations

Remote in United States

Team

Machine Learning

Job type

Full time

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