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Principal Machine Learning Engineer- AI Platform - job 20 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.)
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max
$150000K
$200000K

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

If you're a passionate Principal Machine Learning Engineer eager to make an impact in the fast-evolving payments industry, Visa has an exciting opportunity for you! Located in Austin, Visa AI as a Service (VAIaS) is at the forefront of innovation, leveraging cutting-edge technology to deliver AI and decision intelligence for better business solutions. As a Principal Machine Learning Engineer on the AI Platform team, you'll engage in both strategic planning and tactical execution to push the boundaries of what's possible in AI. This role not only demands solid experience in Machine Learning System development but also requires you to thrive in a dynamic Agile Scrum environment. You’ll lead the technical roadmap, introduce the latest machine learning technologies, and work closely with cross-functional teams to tackle technical challenges. Your responsibilities include collaborating with project, data science, and development teams to architect and design robust AI Platform services utilizing Golang, Java, and Python. Not only will you address real-world problems, but you will also coach and mentor junior team members, helping shape the future talent of your team. With a hybrid work model where you can alternate between remote work and the office, this role ensures you're part of a collaborative environment while enjoying flexibility. If you are ready to take your career to the next level and contribute to a platform that aims to redefine the AI landscape in payments, Visa AI as a Service is your place to be!

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 primary responsibilities include guiding the development and implementation of AI-driven business solutions, collaborating closely with various teams to drive the technical roadmap, and ensuring the scalability of the AI Platform. You'll also play a crucial role in the architecture and design of services, focusing on system performance and security while mentoring junior engineers.

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What qualifications are necessary for the Principal Machine Learning Engineer role at Visa?

To qualify for the Principal Machine Learning Engineer position at Visa, candidates should possess solid experience in Machine Learning System development with a strong background in programming languages such as Golang, Java, and Python. Additionally, expertise in AI platform architecture, cloud-native platforms, and agile methodologies will set you apart as a leading candidate.

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How does Visa's AI Platform impact the payments industry?

Visa's AI Platform, particularly through its VAIaS initiative, significantly impacts the payments industry by operationalizing AI applications to enhance decision-making processes. This not only strengthens operational efficiency but also ensures robust governance, scalability, and reliability of AI models, creating diverse solutions for complex payment challenges.

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What is the team environment like for a Principal Machine Learning Engineer at Visa?

The team environment for a Principal Machine Learning Engineer at Visa is collaborative and dynamic, rooted in Agile Scrum methodologies. You'll work closely with data science teams, development teams, and project stakeholders, fostering innovation and creativity in solving complex problems while also nurturing the growth of junior team members.

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What career growth opportunities exist for a Principal Machine Learning Engineer at Visa?

At Visa, the career growth opportunities for a Principal Machine Learning Engineer are abundant. You will be part of strategic decision-making, have the chance to mentor junior talent, and stay at the forefront of machine learning advancements. This leadership role also opens pathways to further responsibilities within the organizational hierarchy, emphasizing innovation and impact.

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Common Interview Questions for Principal Machine Learning Engineer- AI Platform
Can you describe your experience with Machine Learning System development?

When answering this question, focus on specific projects where you developed or implemented a machine learning system. Highlight the technologies used, the challenges faced, and how you quantitatively measured success or performance improvements.

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What programming languages are you most proficient in, and how have you used them in projects?

Discuss your proficiency in Golang, Java, or Python, and provide examples of how you've applied these languages in real-world projects, particularly those that relate to machine learning or system architecture. Be ready to discuss the reasoning behind your language choices.

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How do you approach designing scalable AI systems?

Explain your design philosophy for scalability, mentioning best practices such as modular design, load balancing, and utilizing cloud-native architectures. Use examples from your past experiences where you designed scalable systems.

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What is Agile Scrum, and how do you apply it in your work?

Define Agile Scrum and explain its importance in software development. Discuss how you've utilized Scrum methodologies in your projects, including roles you’ve played in sprints, daily stand-ups, and retrospectives to drive product delivery.

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Describe a time you had to mentor a junior team member. How did you approach it?

Share a specific instance where you successfully mentored a junior member. Discuss your strategy for coaching, including setting up regular check-ins, providing resources, and fostering an open communication environment that encourages questions.

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Can you discuss your experience with AI governance and ethics in machine learning?

Highlight your understanding of AI governance, ethical considerations, and how you ensure compliance while developing machine learning solutions. Provide real-world examples where you prioritized ethical AI practices.

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How do you handle technical challenges within a team?

Illustrate your collaborative approach to overcoming technical challenges. Discuss specific strategies, such as brainstorming sessions, consulting documentation, or leveraging team members’ expertise to arrive at solutions.

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What roles have you played in setting technical roadmaps in your previous positions?

Detail your experience in contributing to or leading the development of technical roadmaps. Focus on how you collaborated with stakeholders, prioritized features, and adapted roadmaps to changing business needs.

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How do you manage the integration of machine learning models into existing systems?

Offer insights into your integration approach, explaining strategies used to ensure compatibility and performance, as well as how you've handled transition challenges. Discuss communication between teams to facilitate smooth integration.

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What is your vision for the future of AI in the payments industry?

Share your insights on emerging trends and future innovations you foresee in AI and payments. Express your excitement about the potential of AI to create more secure, efficient, and personalized payment solutions for consumers and businesses alike.

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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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