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Machine Learning Engineering Manager, Credit & Underwriting

AdyenSan FranciscoDevelopment
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Salary
$212K - $293K
Job type
Full-time
Experience
Senior · 7+ yrs
Posted
5 Oct 2026
Status
Open · checked 7d ago

About this role

Adyen is seeking a Machine Learning Engineering Manager for its Credit & Underwriting team located in San Francisco. This permanent position suits an experienced technical leader focused on credit risk modeling and scaling financial infrastructure.

Role Overview

The Financial Products organization at Adyen builds foundational infrastructure allowing global customers to manage finances, issue cards, and access financing. The company is establishing a dedicated machine learning engineering team in San Francisco focused on Credit Risk Modeling for Underwriting. This group designs, productionizes, and operates machine learning models and rule-based decision systems to support credit product scaling. The engineering manager oversees the full model lifecycle, from data analysis and research to training, deployment, monitoring, and continuous improvement.

Key Responsibilities

Lead the Credit Risk Modeling team with technical guidance, hands-on architecture strategy, and mentoring.
Collaborate cross-functionally with product, design, data engineering, product engineering, and credit operations stakeholders.
Coach team members in engineering best practices, scalable architecture design, and product roadmap discussions.
Cultivate an inclusive team culture focused on autonomy, ownership, communication, collaboration, and impact.
Design and implement reliable data, infrastructure, development, and service pipelines alongside peer teams.
Establish individual and team goals in alignment with product managers and strategic engineering targets.
Recruit new team members who match the required technical skills and company culture.

Requirements

Minimum of 2 years of experience managing machine learning engineering teams in mission-critical environments.
Total of 7 or more years of experience working in an artificial intelligence or machine learning technology environment.
Practical background working with credit underwriting.
Proven experience understanding and working with machine learning products.
Experience establishing performance metrics to identify system improvement opportunities.
Track record of leading technical projects within fast-paced, critical settings.
Experience collaborating with senior leadership on product roadmaps and strategic direction.

Skills and Tools

Machine learning models and rule-based decision systems
Credit risk modeling and credit underwriting
Data pipelines and scalable architecture design

Salary and Benefits

Annual base salary ranging from $212,000 to $293,000
Restricted Stock Units (RSUs)

About the Company

Adyen provides a single solution combining payments, data, and financial products for global customers like Microsoft, Uber, Meta, and H&M. The organization operates on an office-first model with its primary base in San Francisco, valuing in-person collaboration while offering potential future mobility options to international offices such as Amsterdam or Madrid.

How to Apply

Interested candidates should visit the official Adyen careers page to submit an application.

Skills and tech stack

Questions candidates ask

Where is this job located?

This position is based out of the Adyen office in San Francisco.

What is the salary range for this role?

The annual base salary ranges from $212,000 to $293,000, plus RSUs.

How many years of experience are required?

Candidates must have at least 7 years of experience in an AI or ML tech environment, including a minimum of 2 years managing machine learning engineering teams.

Is remote work supported?

No, Adyen is an office-first company that values in-person collaboration and does not offer remote-only roles.

What specific industry domain experience is necessary?

Applicants must have experience with credit underwriting.

Ready to apply?

The application is on the official Adyen careers page.

Apply on company site