Staff Research Scientist, Intern
About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.
Visa will accept applications for this role until at least 08-26-2026
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.
Our Team
Visa Research is a research organization part of the company's effort on expanding its technology research capabilities globally. We conduct both applied and fundamental research while engaging with the company's technology and product teams, business partners, academics, and governments, to explore and develop technologies that are critical to the payments industry in the future.
Artificial Intelligence
Our mission at the Artificial Intelligence team is to unlock the hidden value in these massive high-quality financial data and decode the language of transactions to drive innovation in the payment industry and beyond. We conduct applied research in machine learning and related fields to deliver unique insights and capabilities to our partners and clients to help them grow their businesses. Our research areas include deep learning applications in financial data, supervised and unsupervised representation learning, predictive modeling for fraud and risk management, consumer behavior modeling, recommendation systems, payment foundational models, scalable machine learning systems, privacy preserving data analytics, and related fields.
Job duties and projects could include:
• Design and implement efficient and scalable machine learning/Artificial Intelligence algorithms
• Leveraging large language models in applications, improving them via techniques and find ways to integrate to Visa data
• Improving the workflow of model training and serving, data pipelines and resource management
• Connecting cutting edge academic research with user-facing next generation products
• Integrate data processing and training pipelines with big data infrastructure.
• Develop proof-of-concept prototypes with fast iteration and experimentation.
• Develop and maintain software design documentation, test cases, and performance evaluation.
• Works within an agile software engineering methodology and collaborative team development architecture.
• Deliver high-impact intellectual property values through research publications and patents • Collaborate with team members to deliver innovative technologies, insights and products to Visa business units to resolve their significant product pain-points and create new growth opportunities
• Work with team members and cross-functional teams (internal/external) that include representation from Technology, Product, Operations, Market Research, etc.
All Visa roles require digital fluency , including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications
• Students pursuing a Ph.D. with a graduation date in December 2027 or later
• 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
• A track record of strong research results as demonstrated by papers in reputed journals and conference proceedings, patents, and presentations at conferences
• AI/Data Analytics: research experience with Deep Learning, Machine Learning, Scalable GenAI, Large Language Model, Advance AI research, and Fine Tuning LLM
• Strong verbal and written communication skills and an eagerness to collaborate with members of your team as well as other Visa teams.
• Hands-on experience with large scale model training including data preparation and model parallelization.
• Proficiency with object-oriented programming languages, such as Python, C++, Java or equivalent languages
• Experience with large scale data processing using Hadoop and MapReduce is a plus
• Demonstrated ability to think outside the box and innovate.
• The ability to take on challenges and address problems head-on
• Strong ability to collaborate
• Highly driven, resourceful and results oriented
• Good team player and excellent interpersonal skills
• Good analytical and problem-solving skills
• Demonstrated ability to lead and navigate through ambiguity
Information for US Applicants
For roles located in the US, the estimated hourly rate is $66.00 to $73.00 USD. The hourly rate may vary depending on job-related factors which may include knowledge, skills, experience, and location.
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 protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law. Visa_Talent_Portal
