Staff Machine Learning Engineer, Credit Intelligence

Who we are

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

Credit Intelligence brings together machine learning with product development to lower Stripe’s credit risk at scale, while retaining a best in class user experience. Getting this tradeoff right is critical to Stripe’s long term success and profitability. We protect Stripe’s brand while also protecting the company from credit losses that can put our financial position at risk.

The Credit Intelligence team consists of machine learning, backend, and full stack engineers who want to tackle this problem through creative new product ideas and impactful machine learning models. We are undertaking several new efforts, where you can have an outsized impact on the architecture, implementation, and design choices behind these systems. 

What you’ll do

You’ll be responsible for driving one of Stripe’s most critical initiatives–Shape future of how stripe handles risk. More specifically, you’ll be leading the efforts to define and scale the way that Stripe manages credit losses at scale and provides a great user experience for current future Stripe customers. 

Responsibilities

• This effort will include defining the strategy inclusive of deep learning modeling, predictive data, automation, and user experience and accessibility to their business Risk information
• Define strategy to enable Stripe and our user’s to understand, detect, and intervene to protect Stripe from Credit losses passed on by our users
• Design and deploy new models to iteratively improve Stripe’s business-critical models and systems that understand a user’s credit risk
• Own and drive cross functional partnerships with organizations including GTM, Risk, Product Engineering, etc., and partner closely with the leadership/stakeholders of various teams within those organizations 
• As a leader within Engineering, assist with team growth and development while maintaining a high bar for excellence and and technical curiosity

Who you are

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

• 15+ years of engineering experience OR equivalent combined work experience reflecting domain expertise as relevant to this position 
• Demonstrated experience of leading company-wide initiatives spanning multiple teams and organizations OR leveraging deep domain expertise to influence tech roadmap planning and execution
• Demonstrated ability to effectively collaborate across multiple teams and stakeholders to drive business outcomes 
• Demonstrated ability to balance execution and velocity with security, reliability, and efficiency
• Experience, mentoring, and investing in the development engineers and peers 

Preferred qualifications

• 15+ YoE as an ML Engineer with minimum of 7+ years of SWE experience