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Principal Machine Learning Engineer- AI Platform - job 17 of 21

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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.

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.

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.

Average salary estimate

$165000 / YEARLY (est.)

min

max

$150000K

$180000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Principal Machine Learning Engineer- AI Platform, Visa

Join Visa in Austin as a Principal Machine Learning Engineer on our AI Platform team, where innovation meets cutting-edge technology! Payments are rapidly evolving, creating exciting opportunities for those passionate about machine learning and artificial intelligence. As a market leader, Visa is transitioning into a tech-centric model, bringing forth services like Visa AI as a Service (VAIaS). This system harnesses state-of-the-art AI and decision intelligence, guaranteeing continuous business growth and fostering a collaborative environment. In this role, you'll not only guide strategic and tactical planning but also directly contribute to our mission of optimizing AI model performance through innovative architectures. If you thrive in Agile Scrum settings and are eager to mentor others while tackling complex challenges alongside skilled project teams, this is your chance to make a significant impact. You'll implement advanced technological solutions using Golang, Java, and Python, ensuring top-tier system security, scalability, and functionality. Plus, with a hybrid working model that offers flexibility, you can balance your time between home and our vibrant office. If you're eager to push boundaries in the payments and AI sectors, then Visa's AI Platform is your perfect career destination!

Frequently Asked Questions (FAQs) for Principal Machine Learning Engineer- AI Platform Role at Visa

What are the primary responsibilities of a Principal Machine Learning Engineer at Visa?

As a Principal Machine Learning Engineer at Visa, your core responsibilities include collaborating with teams to create and implement data-driven solutions, driving the technical roadmap, and maintaining best practices in AI Platform engineering. You will also design architectures for services like Machine Learning Engines and Distributed Data Systems while mentoring junior team members to build a strong talent pipeline.