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Principal Machine Learning Engineer- AI Platform - job 11 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

$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

If you're excited about the intersection of payments and artificial intelligence, then the Principal Machine Learning Engineer role at Visa in Austin is just for you! This is a unique opportunity where innovation is at the forefront, as payments technologies evolve and create exciting new possibilities. At Visa, we've been leading the charge in the payment industry for decades, and now we’re stepping into the tech spotlight, fostering an environment ripe for integrating cutting-edge technology with real-world solutions. The Visa AI as a Service (VAIaS) platform operationalizes AI and decision intelligence seamlessly to maximize business value, ensuring that our offerings are not only advanced but also secure and reliable. As a Principal Machine Learning Engineer, you'll dive deep into strategic planning and tactical execution, contributing your expertise in machine learning systems development. You'll collaborate with Agile Scrum teams, develop technical roadmaps, and introduce modern technologies that push the boundaries of what's possible. Your role will not just be about building amazing solutions; you'll also mentor junior team members, guide best practices, and help cultivate talent within the team. With hybrid work options available, you’ll enjoy a flexible environment that allows for a perfect blend of remote work and collaboration in the office. If you're eager to make significant contributions in a fast-paced, multi-faceted environment, then Visa’s AI Platform is the place for you to elevate your career!

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?

The Principal Machine Learning Engineer at Visa plays a crucial role in advancing the AI Platform's vision. Responsibilities include collaborating with development and data science teams to develop and implement data-driven business solutions, driving technical roadmap and standards, overseeing the architecture design of AI platform services, and coaching junior team members. The position necessitates strong skills in system architecture, performance optimization, and best practices, making it an exciting opportunity for those looking to lead in AI innovation.

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

To be considered for the Principal Machine Learning Engineer position at Visa, candidates should possess solid experience in machine learning system development. A strong understanding of programming languages such as Golang, Java, and Python is vital. Additionally, leadership experience in adopting the latest technologies, guiding teams, and mentoring junior engineers is important. A background in data sciences and AI governance further enhances the qualifications needed for this role, as well as a passion for innovative problem-solving in the payment sector.

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How does the Principal Machine Learning Engineer contribute to the Visa AI Platform?

At Visa, the Principal Machine Learning Engineer significantly impacts the AI Platform by driving the technical roadmap and ensuring the integration of advanced machine learning and system technologies. This role focuses on enhancing system performance, scalability, and availability through the architecture of machine learning engines and distributed data systems. The engineer's input in setting best practices and standards also plays a vital part in streamlining workflows for feature requests and onboarding new AI models.

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What is the team structure for the Principal Machine Learning Engineer role at Visa?

The Principal Machine Learning Engineer at Visa operates within a collaborative team structure, working alongside Agile Scrum teams that include data scientists and development managers. This role is integral to the leadership team, which sets the technical direction for projects and engages with various teams to tackle technical challenges. This multi-faceted team environment encourages knowledge sharing and continuous improvement as a collective unit!

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Is the Principal Machine Learning Engineer position at Visa hybrid or remote?

The Principal Machine Learning Engineer position at Visa offers a hybrid work model. Employees in this role are expected to work in the office for 2-3 days a week, in alignment with the company's needs. This flexible arrangement allows for a balance between remote work and in-person collaboration, fostering a supportive work environment while enabling innovation and teamwork.

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Common Interview Questions for Principal Machine Learning Engineer- AI Platform
Can you explain your experience with machine learning system development?

When answering this question, emphasize specific projects where you utilized machine learning techniques. Discuss the tools and technologies used, challenges faced, and the outcomes achieved. Show how your hands-on experience aligns with the needs of Visa's AI Platform.

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

Mention languages like Golang, Java, and Python, which are relevant to the role at Visa. Provide examples of how you’ve implemented them in machine learning projects or system architectures, highlighting any innovative solutions you developed.

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How do you ensure best practices in your engineering processes?

Discuss your approach to maintaining quality in your work, such as code reviews, agile methodologies, and continuous integration. Highlight any initiatives you've taken to encourage a culture of excellence within your team.

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Describe how you have mentored junior team members in the past.

Explain your mentoring style and provide examples of how you've approached this responsibility in previous roles. Mention any specific success stories, such as how you helped someone overcome technical challenges or grow their skill set.

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What strategies would you use to drive the technical roadmap at Visa?

Talk about your philosophy in setting technical directions, emphasizing collaboration with teams and stakeholders. Share your experience in prioritizing projects based on business needs and technological advancements, aligning them with Visa's strategic goals.

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How do you handle technical challenges and conflicts within a project team?

Focus on your problem-solving abilities and collaborative approach. Describe a situation where you resolved a technical issue within a team, ensuring all perspectives were considered and the solution was effective.

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Can you describe a time when you contributed to improving system performance?

Use a specific example where your input led to measurable performance improvements. Discuss the methods used, changes made, and how those enhancements benefitted the project or organization.

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What is your understanding of AI governance, and why is it essential?

Illustrate your knowledge of AI governance principles, such as data ethics, privacy, and accountability. Explain its importance in delivering trustworthy AI solutions, especially in a regulated industry like payments.

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How do you stay updated with the latest trends in machine learning and AI?

Share specific resources you follow, such as journals, conferences, or online courses. Discuss your networking habits within the AI community and how you apply new knowledge to your work at Visa.

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What excites you about working in the payment and AI space at Visa?

Express your enthusiasm for the potential that AI offers in transforming the payments industry. Discuss how Visa’s focus on innovation and solution-driven strategies resonates with your career aspirations and values.

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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 3, 2025

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