Machine Learning Engineer, Payments ML Accelerator

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

The Payments Machine Learning Accelerator is a new team of data scientists and machine learning engineers. The team’s goal is to act as a multiplier that provides access to improved ML techniques and infrastructure, to enable our existing Payments teams to uplevel their own ML practice, and to increase the rate of learnings. The team will directly ideate and build new product features powered by advanced ML, and also serve as an advisor or enabler for various payment related areas like fraud, authorization, cost optimization etc. 

What you'll do

As a machine learning engineer, you will design and build platforms and services that are configurable and scalable. You will have the opportunity to build and deploy advanced ML applications and generalizable feature engineering pipelines, with the aim to produce business impact and raise the bar for tech excellence in the org. You will also have the opportunity to contribute to and influence ML architecture at Stripe. 

Responsibilities

• Build shared Payments ML infrastructure such as a centralized Payments Feature Store
• Build and deploy deep learning architectures and feature embeddings for Payment entities such as merchant, issuer, or customer
• Design and architect generalizable ML workflows for rapid expansion of existing ML solutions
• Experiment with advanced ML solutions in the industry and ideate on product applications 
• Collaborate with our machine learning infrastructure team to leverage new infra services for business solutions
• Collaborate with data scientists to build ML models 

Who you are

We’re looking for ML engineers with a strong background and passion in building successful backend systems or/and service APIs that deliver impactful product values and ML qualities to our customers. You are comfortable in dealing with changes. You love to take initiatives, and bias towards action.

Minimum requirements

• At least 5 years years industry experience doing end to end ML
  development on a data or machine learning team
• An advanced degree in a quantitative field (e.g. stats, physics, computer science)
• Proficient in Python, Scala, Spark
• Experience bringing ML models to production

Preferred qualifications

• Knowledge about how to manipulate data to perform analysis, including querying data, defining metrics, or slicing and dicing data to evaluate a hypothesis
• Experience evaluating niche and upcoming ML solutions