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 a newly created research
organization as part of the company's effort on expanding its
technology research capabilities globally.
Visa Research conducts both applied and fundamental research. It
engages 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
Staff Research Scientist
As a Staff Research Scientist at Visa, you will work with a team
to conduct world-class research on fundamental technology
challenges in machine learning/deep learning and contribute to
the long-term research agenda in the future of payments, 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 a world-leading
data-driven company. The successful candidate must have strong
academic track record and demonstrate excellent system skills. The
successful candidate will be a self-starter comfortable with
ambiguity, with strong attention to detail, and excellent
Research and develop cutting-edge technologies across a large
spectrum of disciplines.
Advance the development and integration of big data
infrastructure that is highly scalable, efficient, extensible,
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
Collaborate with our partners in academia, industry and
government on key initiatives to advance our security research
Work with team members and cross-functional teams
(internal/external) that include representation from Technology,
Product, Operations, Market Research, etc.
Foster in-depth and productive relationships at all levels with
team members and clients internally and externally.
PhD degree in computer science, computer engineering, electrical
engineering, mathematics, or equivalent field
2+ years of full time industry work experience.
Experience in developing machine learning and/or deep learning
solutions in related domains.
1+ years hands-on experience in deep learning algorithms and
techniques, e.g., convolutional neural networks (CNN), recurrent
networks (RNN) and/or related areas.
Proven track record of achieving significant results as
demonstrated by grants, fellowships, patents, as well as
first-authored publications at leading conferences/workshops such
as NIPS, ICML, KDD, WWW, AAAI, SysML or similar
Publications track record in leading machine learning
conferences and/or journals.
Programming experience and experience with deep learning
framework for prototyping ideas.
Strong track record in research publications and impact in the
Strong verbal and written communication skills.
Demonstrated ability to think outside the box and innovate.
Demonstrated research project/program management experience is a
Experience in payments or related industry is a plus.
Experience in graph neural network or related fields is a
Additional Information Travel Requirements This position
requires the incumbent to travel for work 5% 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, and reach with hands and arms.
EEO Statement 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.