Machine Learning Engineer Intern, Global Data Office – Summer 2026

Company Description

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

Visa’s Internship Program provides an immersive, 12-week journey where you’ll work on impactful projects that drive Visa’s mission forward. As a Visa intern, you’ll build valuable connections across the organization, sharpen your communication and business acumen, and gain hands-on experience in a dynamic, global environment. 

Throughout the program, you’ll have exclusive access to interactive workshops and learning sessions designed to deepen your expertise, expand your industry knowledge, and elevate your professional skillset. You won’t just be learning, you’ll be contributing, collaborating, and innovating every step of the way. In addition to professional development, you’ll enjoy a variety of intern social events that foster community, connection, and fun throughout the summer 

The experience culminates in an exciting final presentation, where you’ll showcase your project achievements, share key insights, and present your recommendations to Visa’s leaders and stakeholders. This is your chance to demonstrate your business impact, highlight your personal growth, and align your work with Visa’s vision for the future. 

Team Description:

With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa’s Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-related businesses and capabilities.  

Visa seeks a Machine Learning Engineer Intern to deploy AI/ML model and enhance machine learning pipelines. This is an exciting internship opportunity inside AI/ML Products & Platforms organization. You will be responsible for deploying machine learning models into production to solve business problems. You will be surrounded by amazing talents who build the AI/ML models from research inception all the way to production. Here, you will be required to work with large data sets and handle real machine learning models. We have a highly collaborative process, and you are required to work across multiple teams and functions for developing cutting edge, creative and advanced analytic solutions and processes. 

Potential high impact projects and responsibilities include: 

• Work collaboratively with Data Scientists, Data Engineer, Software Engineers, Product Manager and cross-functional partners to design and deploy AI/ML based solutions and products 
• Build end to end automated pipeline for AI/ML models including model development, validation, model refit, model recalibration, model monitoring and model serving etc.  
• Develop processes and tools to monitor and analyze model performance and data accuracy. 
• Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to answer business problems 
• Stay updated on state-of-the-art algorithmic techniques and recognize promising innovations, adapting them to Visa’s unique business and offerings. 
• Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes. 
• Work with stakeholders throughout the organization to identify opportunities for leveraging Visa data to drive business solutions. 

Qualifications

Basic Qualifications 

• Pursuing a Bachelor’s or Master’s degree in Machine Learning Engineering, Computer Science, Data Science, or a related STEM/quantitative field, graduating December 2026 – August 2027 
• Strong communications skills, specifically the absence of repeated grammatical or typographical errors, clear and concise written and spoken communications that demonstrate professional judgment.

Preferred Qualifications  

• Basic experience or knowledge in one or more database tools, such as Hadoop/HIVE/SQL, and programming language such as Python/Pyspark. 
• Experience with building Machine learning pipelines in Spark, Python, HIVE or Scala, Airflow, github, MLflow that deploy AI models into production  
• Experience with delivering analytics solutions using any Machine Learning framework. 
• Experience or knowledge in data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression), Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis), Decision Tree, Transformer model, and LLM etc 
• Experience with office tools excel, word, visualization and reporting tools, such as advanced user of PPT, Power BI, Tableau, open-source tool, or similar. 
• Exhibits intellectual curiosity and strives to continually learn. 
• Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required 
• Strong problem-solving capabilities and ability to quickly propose feasible solutions and effectively communicate strategy and risk mitigation approaches to leadership. 

Additional Information

U.S. APPLICANTS ONLY: The estimated hourly range for a new hire into this position is $40/hr to $45/hr 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.  

Work Authorization: Visa will not sponsor applicants for work visas in connection with this position. Future sponsorship will not be considered. 
 
Work Hours: Varies upon the needs of the department 

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

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.