Director of Machine Learning

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.

Job Description

The payments industry is undergoing rapid transformation, with constant innovation and a growing demand for secure, intelligent, and scalable solutions. As a global leader, Visa is at the forefront of this evolution—aggressively investing in cutting-edge technologies to expand our capabilities and redefine what's possible in the payments space.

If you're passionate about innovation, eager to make an impact, and thrive in a fast-paced environment, the
Ecosystem & Operational Risk (EOR) Technology
group within Visa's
Value-Added Services (VAS)
business is the place to be.

Our
Payment Fraud Disruption
team plays a critical role in developing advanced risk detection and fraud prevention solutions that protect Visa and our clients globally. From concept to production, we build secure, scalable, and high-performance applications that safeguard billions of transactions.

We are currently seeking a
Director of Machine Learning
to lead several strategic initiatives and shape the future of fraud prevention at Visa.

Essential Functions:

• Lead the
  end-to-end development
  and deployment of machine learning and deep learning models—including data acquisition, feature engineering, experimentation, model refresh, and production monitoring.
• Drive the design and implementation of
  secure, reliable, and scalable ML systems
  for real-time fraud detection and risk mitigation.
• Partner with
  Product Management and Engineering
  teams to define AI/ML strategies, translate business problems into ML solutions, and align on priorities and roadmaps.
• Oversee model performance tracking and lead
  continuous improvement
  efforts through rigorous evaluation and iteration.
• Guide
  architecture and design decisions
  , incorporating the latest advancements and best practices in AI/ML and software engineering.
• Lead and manage
  cross-functional Agile teams
  , ensuring the delivery of impactful and high-quality features.
• Champion a culture of
  operational excellence
  by implementing tools, workflows, and best practices that drive productivity and reduce development cycle times.
• Establish and track
  engineering effectiveness, product quality, and delivery performance metrics
  —and guide the team to exceed them.
• Stay up to date with the latest developments in
  AI/ML
  and help shape the long-term
  technical strategy
  .
• Mentor and grow a geographically distributed team of machine learning engineers, data scientists, and software engineers.
• Play a key role in
  talent acquisition, coaching, and leadership development
  across the team.

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications:

• 10+ years of relevant work experience with a Bachelor's degree, OR
• 13+ years of relevant experience in lieu of a degree

Preferred Qualifications:

• 12+ years of experience with a Bachelor's degree, OR
• 8–10 years with an Advanced Degree (e.g., MS, MBA), OR
• 6+ years with a PhD in Computer Science, Data Science, Statistics, or a related field
• Proven leadership in delivering real-world AI/ML products at scale, especially in high-stakes or regulated environments
• Deep expertise in ML/DL model development, feature engineering, A/B testing, model deployment, and lifecycle management
• Strong foundation in algorithms, data structures, and problem-solving
• Experience building mission-critical systems that are secure, reliable, and performant
• Demonstrated success in driving Agile delivery, improving engineering metrics, and fostering collaboration across global teams
• Proven ability to hire, develop, and retain top technical talent
• Exceptional communication and stakeholder management skills—able to influence across product, engineering, and executive leadership
• Strategic mindset with passion for innovation and staying ahead of technological trends in ML/AI

Additional Information

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.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 188,200.00 to 273,050.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.