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Principal Machine Learning Engineer- AI Platform - job 7 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

$150000 / YEARLY (est.)
min
max
$120000K
$180000K

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

If you're ready to make a significant impact in the exciting intersection of payments and artificial intelligence, then the Principal Machine Learning Engineer position at Visa in Austin is the perfect opportunity for you! At Visa, we understand that the payments landscape is evolving rapidly, and we're transforming into a technology powerhouse to drive innovation in this area. Our Visa AI as a Service (VAIaS) platform is at the forefront of this transformation, enabling us to operationalize AI and decision intelligence to enhance business value. As the Principal Machine Learning Engineer, you'll play a crucial role in shaping our AI platform's vision and mission. Your experience in machine learning system development will be invaluable as you collaborate with Agile Scrum teams on various projects. You will guide the technical roadmap, implement best practices, and support the development of data-driven solutions by working closely with data science and development teams. Additionally, you'll get to design architectures for Machine Learning Engines and distributed data systems while also mentoring junior team members to cultivate the next generation of talent. With a hybrid work arrangement allowing flexibility between remote and office environments, you'll enjoy a balanced work-life integration while becoming an instrumental part of a pioneering team at Visa. If you're eager to learn quickly and thrive in a dynamic environment, we can’t wait for you to join us on this exciting journey!

Frequently Asked Questions (FAQs) for Principal Machine Learning Engineer- AI Platform Role at Visa
What does a Principal Machine Learning Engineer at Visa focus on?

The Principal Machine Learning Engineer at Visa focuses on advancing the AI Platform's vision and mission through collaboration with project, data science, and development teams. This role involves establishing a technical roadmap and implementing new data-driven business solutions, all while ensuring best practices in scalability and architecture.

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

Candidates for the Principal Machine Learning Engineer role at Visa should have solid experience in machine learning system development, proficiency in programming languages like Golang, Java, and Python, and excellent collaboration skills for working in Agile Scrum teams. A passion for AI technologies and mentoring is also essential.

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What types of systems will a Principal Machine Learning Engineer at Visa be designing?

In the role of Principal Machine Learning Engineer at Visa, you will design various systems, including Machine Learning Engines, In Memory Computing Systems, Streaming Computing Systems, and Distributed Data Systems, enhancing the overall performance and scalability of the AI Platform.

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Can the Principal Machine Learning Engineer position at Visa be done remotely?

Yes, the Principal Machine Learning Engineer role at Visa offers a hybrid working model, allowing employees to alternate between remote work and office time. Team members are typically expected to be in the office 2-3 days a week, fostering collaboration while still offering flexibility.

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How does the Principal Machine Learning Engineer at Visa contribute to team development?

The Principal Machine Learning Engineer at Visa significantly contributes to team development by coaching and mentoring junior team members, helping to evolve the team's talent pipeline, and sharing best practices that enhance both individual and team performance.

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Common Interview Questions for Principal Machine Learning Engineer- AI Platform
What experience do you have with machine learning system development?

Be prepared to showcase specific projects where you've implemented machine learning systems, emphasizing the technologies and methodologies used. Highlight your ability to overcome technical challenges and the impact your work had on business outcomes.

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Can you explain the architecture of a machine learning engine you have built?

Outline the components of the machine learning engine, such as data ingestion, preprocessing, model training, and deployment. Include the technologies used and how they ensured performance and scalability.

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How do you approach collaboration with data science and development teams?

Discuss your communication style and how you facilitate meetings or brainstorming sessions. Emphasize an example where teamwork led to successful project execution, showing your understanding of agile methodologies.

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What are some best practices you have implemented in machine learning projects?

Share specific best practices like version control for models, continuous integration/continuous deployment (CI/CD) pipelines, and robust testing methodologies. Explain how these practices improved project outcomes.

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Describe a technical challenge you faced and how you resolved it.

Use the STAR method to outline the situation, task, action, and result. Detail the technical complexities involved and illustrate how your problem-solving skills saved time and resources.

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What is your experience with distributed data systems?

Discuss your familiarity with technologies such as Hadoop or Spark. Highlight specific projects where you utilized these systems and the benefits they provided for data processing and analysis.

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How do you ensure the performance and security of machine learning applications?

Discuss your approach to performance testing and monitoring, along with security considerations such as data privacy, access controls, and compliance with regulations.

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How do you coach junior team members in a tech environment?

Share your philosophy on mentorship, providing examples of methods or techniques you've used to nurture talent. Emphasize the importance of feedback and continuous learning.

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What tools do you use for continuous integration in machine learning projects?

Mention specific CI tools you're familiar with like Jenkins, GitLab CI, or CircleCI, and explain how they contribute to improving workflow and project efficiency in machine learning environments.

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What excites you about the future of AI in payments?

Express your enthusiasm for how AI can enhance decision-making and customer experience in payments. Discuss innovative trends you see on the horizon and how you envision contributing to that development at Visa.

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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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