Job Description

As an Intern for Visa Research, you will participate in implementation of a research project in the Visa Research group. In this role, you will drive innovations by introducing technologies, methods, and solutions to deliver solution that will eventually contribute to a Visa product or introduce efficiencies to Internal Visa processes.

You will drive innovation from ideation to implementation. The innovation will build on the machine learning, artificial intelligence and big data research. You will research and develop seamless, fast, reliable and secure payment solutions using foundational and applied research techniques. You will, in many cases, interact with different stake holders, senior executives, research scientists, software engineers and architects and You will discover and propose research and development opportunities, create development plan, execute and implement the ideas.

Key responsibilities include:

• Implement research problem solutions with prototype and early product by collaborating with other scientists, software architects and engineers
• Partner with teams on modeling and analysis problems—from transforming problem statements into analysis problems
• Collaborate with research scientists, product owners and architects to improve the fast-prototyping platform(s).
• Conduct business and technical analysis, code reviews and unit testing, and implement and produce technical documentation of research solutions for new development and/or system enhancements
• Work and partner with product delivery teams to fully implement the proof of concept and early product in Visa services and products
• Present and demo the research solutions to a committee on the regular basis
• Work with IP team to identify patent-able ideas in the research, as well as publication opportunities
• Champion the innovation across the organizations and industries as an expert in the subject, either by providing consulting or by contributing to technology talks and presentations
• Continue to learn about the payments and technologies in Visa and across industries
• Facilitate design reviews to provide input on functional requirements, product designs, schedules, or potential problems.

Some projects could include:

• Framework for Fairness in AI
• Distributed Hyperparameter Optimization Techniques
• ML Feature computation framework with Spark
• Prototype for detecting Enumeration attacks

Qualifications

_ Basic Qualifications:_

• Students pursuing a Bachelor's Degree 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, and communications that demonstrate professional
judgment.

** Preferred Qualifications:**

• Work experience and/or academic background in areas of AI/machine learning
• Experience programming in at least one or more in Java, Python, Scala and Go
• Knowledge and experience working with Frond-end web application frameworks (Angular/React) along with HTML, CSS, JavaScript is a plus.
• Knowledge and experience working with REST/JSON-RPC services, SQL, and NoSQL database is a plus.
• Strong understanding of algorithms and data structures
• Experience and/or academic background building and Supporting Scalable and reliable data solutions and AI/machine learning powered systems that can enable fast prototyping and advanced analytics using modern big data and ML/AI technologies (Hadoop, Spark, Cloud, TensorFlow, H2O etc.) in an agile manner.
• Hands-on experience and/or academic background developing systems for the machine learning lifecycle: data preprocessing and feature extraction, model training and evaluation, and deployment and monitoring.
• 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

Additional Information

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $26/hr to $31/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. 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.

** Work Authorization : **Permanent Authorization to work in the U.S. is a precondition of employment for this position. 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.

** 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.