Principal ML Engineer - AI Platform

Company Description

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive.

When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

Join Visa: A Network Working for Everyone.

Job Description

Payments has become a very active/hot area in the last couple of years, creating a strong demand for innovation. This will be a very exciting area in the next 5 to 10 years. Not only is VISA a leader in the payment industry and has been for a long time, but it is also quickly transitioning into a technology company that is fostering an environment for applying the latest technology to solve exciting problems in this area.

Visa AI as a Service (VAIaS) operationalizes the delivery of AI and decision intelligence to ensure their ongoing business values. Built with composable AI capabilities, privacy-enhancing computation, and cloud native platforms, VAIaS automates the updates to data, models, and applications. Combined with strong AI governance, VAIaS optimizes the performance, scalability, interpretability and reliability of AI models and services. If you want to be in the exciting payment and AI space, learn fast, and make big impacts, Visa AI as a Service is an ideal place for you!

This position is for a Principal Machine Learning Scientist with solid Machine Learning System development experience, who will contribute to both strategic and tactic planning and execution to continuously advance AI Platform's vision and mission. In this position, you are first a passionate and hard-working machine learning specialist and system architect that can work in a multifaceted environment as a member of Agile Scrum teams.

You will be an integral part of the leadership team, setting up technical roadmap, introducing the latest machine learning and system technology to the team, working with development managers and teams to identify and resolve technical challenges, and working with different products and data science teams to streamline the feature request and model onboarding.

This position will be based in Austin, TX and reporting to Head of Visa AI as a Service. If this sounds exciting, we want to chat and tell you more about our work culture and environment and see if this will be a good fit for both of us.

Essential Functions

• Collaborate with project teams, data science teams and development teams to drive the technical roadmap and guide development and implementation of new data driven business solutions.
• Drive technical standard and best practices, and continuously improve AI Platform engineering scalability.
• Architecture and design of AI Platform services including Machine Learning Engines, In Memory Computing Systems, Streaming Computing Systems, Distributed Data Systems and etc, in Golang, Java, and Python.
• Coordinate the implementation among development teams to ensure system performance, security, scalability and availability.
• Coaching and mentoring junior team members and evolving team talent pipeline.

Qualifications

Basic Qualifications:

• 12 or more years of work experience with a Bachelor’s Degree or at least 10 years of work experience with an Advanced degree (e.g. Masters/MBA /JD/MD); or a minimum of 5 years of work experience with a PhD

Preferred Qualifications:

• 15 years of Machine Learning System Development Experience after PhD.
• Strong experience in innovative areas such as Machine Learning, Deep Learning, Stream Computing, MLOps, In-Memory Computing.
• Experience with Golang, Java, Python, or C/C++
• Expert in web service standards and related patterns (REST, gRPC)
• Expert in developing large scale, enterprise class distributed system or subsystems that require high availability, low-latency, & strong data consistency computing.
• Authority in architecting solutions with Continuous Integration and Continuous Delivery in mind
• Expert in distributed in-memory computing technologies like Redis
• Experience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, and MapReduce
• Experience developing proper metrics instrumentation in software compon