Job Details

Principal Machine Learning Scientist - Data and AI Platform Team

Advertiser
Visa
Location
San Mateo, California, United States
Rate
-
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.

Visa is one of the original digital technology companies, with an extensive network connecting tens of thousands of banks and millions of merchants. More than 60 years later we continue seek new ways to push the boundaries of payment technologies and the development of innovative payment solutions. This position reports to the VP of Models for Data and Credit and will occupy a unique space which intersects the disciplines of predictive modeling, machine learning / AI and innovative product development.

We are seeking passionate and talented AI / Machine Learning scientists and engineers to collaborate with product designers in Visa's suite of global Innovation Labs. You will be part of a multi-disciplinary team collaborating with business, design and development professionals. You will blur the lines between business strategy, creativity, computer science and deep learning algorithms helping to leverage Visa data to enhance new solutions, such as connected homes, connected cars and IoT.

We are currently recruiting for two open roles. These roles may be located in Foster City, CA or Ashburn,VA. Ashburn team members would require periodic travel to Bay Area to meet with Innovation Lab team members.

As a member of AI & Innovation within the Models for Data and Credit Products team you will:

Join a team of world-class, collaborative data scientists
Develop AI/machine learning solutions targeted towards disruptive opportunities for Visa business
Build novel machine learning/AI algorithms to develop intellectual property for Visa
Leverage experience with systems, and application development to realize products/offerings in multi-disciplinary settings.
Rapidly prototype proof of concept solutions that can demonstrate utility, value and lead to scalable solutions
Stay up-to-date on developments in the field and propose long term capability buildup
Collaborate with designers and engineers in Visa's global suite of Innovation LabsProvide leadership expertise and technical guidance for new model builds and/or existing model deep dives and trouble shooting

Additional responsibilities for senior roles:

Lead collaboration with designers and engineers in Visa's global suite of Innovation Labs
Define an R&D agenda around machine learning, artificial intelligence, and modeling capabilities to ensure we will stay leading edge
Provide leadership expertise and technical guidance for new model builds and/or existing model deep dives and trouble shooting
Ensure all models are following the established rules for data privacy and governance of production models
Strong background in two or more of the following areas: machine learning/AI algorithms, computations/statistical learning theory, scalable systems (e.g. Spark, Hadoop), large scale data analysis, optimization, functional analysis and deep learning.
Experience in deep learning frameworks (e.g., Tensorflow, MxNet), and large-scale optimization
Demonstrated success integrating AI into innovative product architectures
Demonstrated ability to drive innovation from incubation to product
Demonstrated ability in the application of Machine Learning/AI in real-world industrial settings with large scale data
A history of developing novel algorithms, solutions and delivered/deployed projects in the area preferred.
Familiarity with agile execution methodologies.
A sense of ambition and passion to change the world using AI and machine Learning
You balance precision with practicality and act decisively to move projects forward
Strong leadership competencies including the ability to champion the strategy, drive an inspiring culture, build trust and deliver customer focused innovation
You are a thought leader, innovator and a problem solver. Challenger of the status quo.

Experience

We are recruiting for two roles within this team. All levels of experience will be considered as long as you have practical experience in the application of Machine Learning/AI in real-world industrial settings with large scale data. Level and compensation will be commensurate with relevant experience.
Advanced degree in quantitative discipline with a focus on Machine Learning / AI / Reinforcement learning or related areas
Strong background in two or more of the following areas: machine learning/AI algorithms, computations/statistical learning theory, scalable systems (e.g. Spark, Hadoop), large scale data analysis, optimization, functional analysis and deep learning.
Experience working as part of a small and nimble modeling team in a fast-paced environment
Experience with human centered design and agile product development
Ability to bridge the gap between technological approaches and business outcomes.
Ability to communicate with both business and technology leaders, with a strong understanding of business data requirements and technology capabilities and an ability to make technical concepts accessible to non-technical audiences.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

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