visa

Director, Machine Learning

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At a Glance

Location
Austin, Texas, United States
Employment
Full-time
Experience
8–10 years
Posted
2026-03-16T19:54:25.468Z

Key Requirements

Required Skills

AgileExcel

Domain Knowledge

  • Engineering

Benefits & Perks

Health Insurance

equity. Visa has a comprehensive benefits package for which this position may be

Requirements

Basic Qualifications

10+ years of relevant work experience and a Bachelors degree, OR 13+ years of relevant work experience

Preferred Qualifications

12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD

Experience leading development, delivery and deployment of ML / DL models, feature engineering, model refresh, and experimentation.

Experience leading product development & delivery of AI/ML solutions, applied to real-world problems

Compensation & Benefits

Work Hours:

Varies upon the needs of the department.

Travel Requirements:

This position requires travel 5-10% of the time.

Mental/Physical Requirements:

This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Responsibilities

Payments Industry is a very exciting and fast-developing area with lot of new and innovative solutions coming to market. With strong demand for new solutions in this space, it promises to be an exciting area of innovation. VISA is a strong leader in the payment industry and is rapidly transitioning into a technology company with significant investments in this area.

If you want to be in the exciting payment space, learn fast and make big impacts, Ecosystem & Operational Risk technology which is part of Visa’s Value-Added Services business unit is an ideal place for you!

In Ecosystem & Operational Risk (EOR) technology group, the Payment Fraud Disruption team is responsible for building critical risk and fraud detection and prevention applications and services at Visa. This includes idea generation, architecture, design, development, and testing of products, applications, and services that provide Visa clients with solutions to detect, prevent, and mitigate fraud for Visa and Visa client payment systems.

We are in search of inquisitive, creative, and skillful technologists to join our ranks. We are currently looking for a Director of Machine Learning who will take the lead and manage several strategic initiatives within our organization.

The right candidate will possess strong machine learning background, with demonstrated leadership experience in driving technical architecture, design and delivery of products and services that have created business value and delivered impact within the payments or payments risk domain or similar industries.

This position is ideal for an experienced Data Science / Machine learning leader who is passionate about collaborating with business and technology partners and engineers to solve challenging business problems. You will be a key driver in the effort to define the shared strategic vision for the Payment Fraud Disruption platform and defining tools and services that safeguard Visa’s payment systems.

About the Company

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.