Machine Learning Engineer, Identity

Key Skills

Deep Learning, Machine learning techniques

Job Description

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’re looking for a Machine Learning engineer to help envision, build, and deploy novel approaches in machine learning for identity verification and risk use-cases while maintaining a great user experience. This role is perfect for engineers interested in building product experiences that rely on machine learning for mission-critical work of building and deploying the models that help Stripe enable access to identity verification and fraud prevention for a huge variety of businesses across the globe. 

• Design, train and deploy new models using advances in deep learning to iteratively improve Stripe’s business-critical models and systems in identity verification workflow
• Analyze and model the lifecycle of consumers using Stripe to support offering a wide variety of financial services to them
• Think of creative new methods to deter credit risk, transaction fraud and identity theft, while working against constantly evolving adversaries
• Explore green-field projects and convert abstract requirements into concrete deliverables
• Design the next generation of model training and scoring infrastructure, in close collaboration with our ML infrastructure teams
• Improve the way we evaluate and monitor our model and system performance
• Collaborate with stakeholders and drive projects involving a wide variety of technologies and systems to successful completion
• Mentor and support other engineers in training and deploying new deep learning models

We’re looking for someone who has:

• An advanced degree in a quantitative field (e.g. stats, physics, computer science) and experience deploying models in a production environment
• 7+ years industry experience working on machine learning applications
• Experience designing and training machine learning models to solve critical business problems
• Knowledge about how to manipulate data to perform analysis, including querying data, defining metrics, or slicing and dicing data to evaluate a hypothesis
• Nice to have: previous experience or interest in identity verification, credit risk, or transaction fraud

Pay and benefits

The annual US base salary range for this role is $243,100 - $343,200. 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.