Staff Machine Learning Scientist, Intern

Company Description

As the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company's dedication to innovation drives the rapid growth of connected commerce on any device, and fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce.

At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.

You're an Individual. We're the team for you. Together, let's transform the way the world pays.

Job Description

Visa Research is an organization that focuses exclusively on the scientific foundations of existing, emerging and future commerce-related technologies. With the establishment of a formal research organization and the associated long-term commitment to technology research, Visa joins the ranks of a small number of industry leaders with both the insight and ability to substantially influence and systemically impact the future.

The Research Intern will work with a team to conduct world-class research on data analytics and contribute to the long-term research agenda in large-scale data analytics and machine learning, as well as deliver innovative technologies and insights to Visa's strategic products and business.

This role represents an exciting opportunity to make key contributions to Visa's strategic vision as the world-leading digital payments company. The successful candidate must have an outstanding academic track record in fundamental and applied research with participation in developing innovations. The candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and excellent collaboration skills.

Job duties and projects could include:
• Design and implement efficient and scalable machine learning algorithms.
• 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.

Past intern projects have included:
• AI Explainability
• High dimensional time series prediction
• Graph based topic modeling
• Learning to super-learn: meta-learning for imbalanced task
• Deep Reinforcement Learning for FX Trading
• Entity tracking based on Consistent and Diverse Entity Connections

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications

Basic Qualifications

• Students pursuing a Ph.D. with a graduation date in December 2024 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

• AI/Data Analytics: Proficiency with object oriented programming languages, such as C++, Java, Python, and Lua.
• Research experience in Machine Learning, Deep Learning, Generative AI and Large Langugage Models
• Strong verbal and written communication skills and an eagerness to collaborate with members of your team as well as other Visa teams. 
• 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