Visa
Overview
Join to apply for the
Director of Machine Learning (Hybrid)
role at
Visa . 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.
This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.
Responsibilities
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.
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.
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.
Referrals increase your chances of interviewing at Visa by 2x
#J-18808-Ljbffr
Director of Machine Learning (Hybrid)
role at
Visa . 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.
This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.
Responsibilities
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.
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.
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.
Referrals increase your chances of interviewing at Visa by 2x
#J-18808-Ljbffr