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Principal Machine Learning Engineer- AI Platform - job 6 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

$150000 / YEARLY (est.)

min

max

$120000K

$180000K

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

Join Visa as a Principal Machine Learning Engineer on the innovative AI Platform team, where you'll play a pivotal role in shaping the future of payment technology in Austin. With the demand for innovation in the payment sector skyrocketing, Visa is uniquely positioned not just as a leader in payments but as an evolving technology powerhouse that thrives on applying cutting-edge solutions. In this dynamic environment, your expertise in machine learning system development will be crucial for driving the AI Platform’s vision forward. Expect to collaborate with diverse Agile Scrum teams, guiding both strategic and tactical planning. Your responsibilities will encompass everything from setting the technical roadmap to introducing the latest machine learning techniques into our projects. You will also partner with development managers to tackle technical challenges and streamline feature requests across various product lines. Building and designing AI Platform services, including machine learning engines and distributed data systems, will be at the heart of your role. Moreover, your leadership will support the growth of junior engineers, ensuring the team's talent pipeline remains robust. If you’re passionate about driving innovation in a pivotal area like payments and AI—where learning and impact are at the forefront—this is the perfect opportunity for you. This is a hybrid position, allowing you the flexibility to work both remotely and in our Austin office, fostering collaboration while accommodating your work-life balance.

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

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

As a Principal Machine Learning Engineer at Visa, you will be responsible for collaborating with various teams to drive the technical roadmap for the AI Platform, architecting AI services, and implementing best practices for scalable engineering. You'll lead efforts to enhance machine learning systems and ensure their performance and security while mentoring junior engineers.