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Director, Machine Learning

Visa

$214,500 - $343,400
Dec 30, 2025
Austin, TX, US
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Visa is looking to solve the problem of payment fraud by building critical risk and fraud detection and prevention applications and services, and is seeking a Director of Machine Learning to lead this effort.

Requirements

  • 10+ years of relevant work experience and a Bachelors degree, OR 13+ years of relevant work experience
  • 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
  • Experience leading design and development of mission-critical, secure, reliable systems
  • Excellent understanding of algorithms and data structures
  • Excellent problem solving and analytics skills.
  • Strong experience with agile methodologies

Responsibilities

  • Leverage generative AI techniques to enhance fraud detection models, creating synthetic data for robust testing and model training.
  • Incorporate generative AI into the machine learning strategy to introduce novel fraud detection methods and improve predictive accuracy.
  • Utilize generative AI to simulate potential fraud scenarios, aiding in the development and refinement of fraud prevention solutions.
  • Implement generative AI tools to facilitate communication and alignment between technical teams and business stakeholders, ensuring a shared understanding of goals.
  • Define and drive the machine learning strategy for fraud prevention solutions.
  • Align ML initiatives with Visa’s broader business and technology objectives in the payments risk space.
  • Lead the design, development, testing, and deployment of ML/DL models to detect and prevent payment fraud.

Other

  • 10+ years of relevant work experience and a Bachelors degree, OR 13+ years of relevant work experience
  • Travel 5-10% of the time
  • Work Hours: Varies upon the needs of the department.
  • Mental/Physical Requirements: This position will be performed in an office setting.
  • Bachelor’s Degree or Advanced Degree (e.g. Masters, MBA, JD, MD) or PhD