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Principal Machine Learning Engineer- AI Platform - job 19 of 21

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

$175000 / YEARLY (est.)
min
max
$150000K
$200000K

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

Are you ready to take your career to the next level? Join Visa as a Principal Machine Learning Engineer for our exciting AI Platform team in Austin! In this role, you’ll dive into the world of payments—one of the hottest areas in tech right now—and help shape the future of how AI and decision intelligence are used in real-world financial applications. Visa has long been a leader in the payments industry, and as we transition to a tech-forward approach, we’re looking for innovative minds like yours to spearhead our AI initiatives. Your passion for machine learning and system architecture will be crucial as you collaborate with Agile Scrum teams to develop strategic roadmaps and implement advanced AI solutions. You’ll oversee the design and architecture of our cutting-edge AI services, including Machine Learning Engines and Distributed Data Systems, utilizing technologies like Golang, Java, and Python. Your expertise will guide our technical standards, ensuring the scalability and performance of our platform, while also mentoring junior team members along the way. If you’re excited about making a significant impact in the payment space while continuously learning and growing, this hybrid role at Visa’s AI as a Service is the perfect fit for you!

Frequently Asked Questions (FAQs) for Principal Machine Learning Engineer- AI Platform Role at Visa
What are the primary responsibilities of the Principal Machine Learning Engineer at Visa?

As a Principal Machine Learning Engineer at Visa, you will be engaged in defining and driving the technical roadmap for our AI Platform, collaborating with various teams to develop innovative, data-driven solutions. You’ll be responsible for the architecture and design of AI services, guiding best practices for ensuring scalability and performance, and mentoring junior team members. Your role is essential in integrating advanced machine learning capabilities into our financial systems.

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What qualifications are required for the Principal Machine Learning Engineer position at Visa?

To excel as a Principal Machine Learning Engineer at Visa, you should have extensive experience in machine learning system development, a solid understanding of AI technologies, and proficiency in programming languages like Golang, Java, and Python. Additionally, strong leadership skills and experience in Agile environments will be crucial for guiding project teams and ensuring successful implementation across our AI Platform.

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What does a typical day look like for a Principal Machine Learning Engineer at Visa?

A typical day for a Principal Machine Learning Engineer at Visa involves collaborating with project and data science teams to strategize the integration of machine learning processes into our services. You will work on system design and architecture, establish technical standards, and mentor junior engineers. Expect to join Agile Scrum meetings, engage in problem-solving discussions, and explore the latest technologies that could enhance our AI capabilities.

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Is the Principal Machine Learning Engineer role at Visa office-based or remote?

The Principal Machine Learning Engineer role at Visa is a hybrid position, which means you can work from home or the office. Employees are expected to be in the office 2-3 days a week, depending on business needs and team agreements, providing a flexible work environment while allowing collaboration with your team.

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How does Visa support professional growth for a Principal Machine Learning Engineer?

Visa is dedicated to fostering professional growth for its employees, including Principal Machine Learning Engineers. You’ll have opportunities for mentorship, access to cutting-edge technology and resources, and the chance to lead initiatives that impact the business. Regular training sessions and workshops are designed to enhance your skills and keep you up-to-date with industry advancements.

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Common Interview Questions for Principal Machine Learning Engineer- AI Platform
Can you describe your experience with machine learning systems?

In your response, provide specific examples of projects where you developed or managed machine learning systems. Highlight the technologies used, the challenges faced, and how your solutions contributed to organizational goals. This showcases your expertise and problem-solving capabilities.

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How do you ensure the scalability and performance of machine learning models?

Explain your approach to designing machine learning systems, focusing on practices such as optimizing code, leveraging cloud resources, and implementing efficient data pipelines. Mention any tools or frameworks you use to monitor and enhance performance.

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What methods do you use for mentoring junior engineers?

Share your mentoring philosophy and any structured approaches you use to guide junior engineers. Discuss how you help them develop their skills and navigate challenges within projects, potentially through regular one-on-one meetings, coding reviews, or collaborative projects.

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Describe a project where you faced significant technical challenges. How did you overcome them?

Provide a detailed account of a challenging project, outlining the obstacles you encountered and the strategies you implemented to address them. This helps interviewers gauge your critical thinking and problem-solving abilities.

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What is your approach to collaborating with cross-functional teams?

Discuss your experience working with diverse teams, emphasizing communication, adaptability, and joint problem-solving. Highlight any specific frameworks or tools you use to facilitate collaboration, such as Agile methodologies or project management software.

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How do you keep up with the latest trends and advancements in AI and machine learning?

Describe your methods for staying informed, such as following industry publications, attending conferences, or engaging in online communities. This demonstrates your commitment to continuous learning and staying ahead in the field.

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What strategies do you recommend for integrating AI into existing systems?

Share insights on assessing current systems and identifying areas for AI integration. Discuss methods like pilot projects, iterative testing, and ensuring alignment with business objectives, which can highlight your strategic thinking.

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Can you explain the importance of AI governance?

Discuss the necessity of AI governance as it relates to ethical AI use, compliance, and risk management. Explain how good governance ensures model interpretability, accountability, and aligns with corporate values, which is especially relevant in finance and payments.

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What role do you believe machine learning plays in improving customer experiences?

Outline how machine learning can enhance personalization, streamline services, and provide predictive insights in customer interactions. Use specific examples from previous experiences where applicable.

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Why do you want to work at Visa as a Principal Machine Learning Engineer?

Focus on the aspects of Visa that excite you, such as innovation in payments technology and the company's commitment to applying cutting-edge AI solutions. Explain how your goals align with Visa's vision for the future and what you can bring to the team.

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Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...

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Full-time, hybrid
DATE POSTED
April 2, 2025

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