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Senior Machine Learning Engineer-Visa AI as a Service - job 3 of 20

About the Role:

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 Senior Engineer with solid development experience who will focus on creating new capabilities for Visa AI as a Service while maturing our code base and development processes. In this position, you are first a passionate and talented developer that can work in a dynamic environment as a member of Agile Scrum teams.  Your strong technical leadership, problem-solving abilities, coding, testing and debugging skills is just a start.  You must be dedicated to filling product backlog and delivering production-ready code.  You must be willing to go beyond the routine and prepared to do a little bit of everything.

You will be an integral part of the development team, sometimes investigating new requirements and design and at times refactoring existing functionality for performance and maintainability, but always working on ways to make us more efficient and provide better solutions to our end customers. The role is for a self-organized individual with knowledge of web application and web service development. The candidate will perform hands-on activities including design, documentation, development and test of new functionality. Candidate must be flexible and willing to switch tasks based on team’s needs.

Essential Functions

  • Collaborate with project team members (Product Managers, Architects, Analysts, Software Engineers, Project Managers, etc.) to ensure development and implementation of new data-driven business solutions

  • Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision and comply with all applicable standards

  • Responsibilities span all phases of solution development including:

  • Collaborate with senior technical staff and PM to identify, document, plan contingency, track and manage risks and issues until all are resolved

  • Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Average salary estimate

$135000 / YEARLY (est.)
min
max
$120000K
$150000K

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 Senior Machine Learning Engineer-Visa AI as a Service, Visa

Join Visa AI as a Service as a Senior Machine Learning Engineer and become a key player in the fast-paced world of payments and AI technologies! In this dynamic role based out of Foster City, you'll leverage your solid development experience to create innovative capabilities and enhance our existing code base and development processes. If you're keen on working in Agile Scrum teams, your strong technical leadership and problem-solving skills will shine as you collaborate with a diverse group of professionals, including product managers, software engineers, and analysts. Your day-to-day will involve developing production-ready code that meets high-quality standards while also driving development efforts from inception to delivery. At Visa AI as a Service, we prioritize a culture of collaboration and innovation, so you'll be encouraged to share your insights on design and implementation of data-driven business solutions. With hands-on responsibilities that include designing, documenting, and developing new features, you’ll also need to display flexibility in tackling tasks as team needs evolve. You'll find that your contributions will directly impact our customers and help optimize the performance and scalability of AI models and services. Ready to make a difference? Come be part of a talented team and explore the possibilities at Visa AI as a Service!

Frequently Asked Questions (FAQs) for Senior Machine Learning Engineer-Visa AI as a Service Role at Visa
What are the main responsibilities of a Senior Machine Learning Engineer at Visa AI as a Service?

As a Senior Machine Learning Engineer at Visa AI as a Service, your primary responsibilities include collaborating with cross-functional teams to develop and implement AI-driven business solutions, driving end-to-end development efforts, and ensuring the high quality of delivered code. You'll need to engage actively in Agile Scrum teams, manage risks, and effectively communicate technical solutions and project status to stakeholders.

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What qualifications are needed for the Senior Machine Learning Engineer position at Visa AI as a Service?

To be considered for the Senior Machine Learning Engineer role at Visa AI as a Service, you should have a solid development background, particularly in web application and service development. Strong technical leadership skills, problem-solving abilities, and proficiency in coding, testing, and debugging are essential. Familiarity with AI principles and cloud-native platforms is also highly beneficial.

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How does collaboration play a role in the Senior Machine Learning Engineer role at Visa AI as a Service?

Collaboration is vital for the Senior Machine Learning Engineer at Visa AI as a Service. You'll work closely with product managers, architects, analysts, and other software engineers to ensure the development of innovative AI-driven solutions that meet business requirements. Engaging with the team helps drive project success and facilitates the sharing of ideas and insights.

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What does the hybrid work model look like for the Senior Machine Learning Engineer at Visa AI as a Service?

In the Senior Machine Learning Engineer role at Visa AI as a Service, the position operates on a hybrid work model, meaning that while you have the flexibility to work from home, you will also spend specified days in the office collaborating with your team. The exact in-office days will be confirmed by your hiring manager to foster effective teamwork and connection.

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What is the culture like for the Senior Machine Learning Engineer at Visa AI as a Service?

The culture at Visa AI as a Service is characterized by collaboration, innovation, and a commitment to excellence. As a Senior Machine Learning Engineer, you'll be encouraged to take initiative, share your insights, and contribute towards making impactful improvements in AI technologies that benefit our end customers.

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Common Interview Questions for Senior Machine Learning Engineer-Visa AI as a Service
Can you explain a significant project you worked on as a Senior Machine Learning Engineer?

When asked about a significant project, focus on describing the problem you were tasked with, the approach you took, any challenges encountered, and the impact your solution had. This exhibits your problem-solving skills and your ability to deliver results.

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How do you ensure the quality of code you produce as a Senior Machine Learning Engineer?

Discuss your practices like code reviews, unit testing, and following coding standards that contribute to producing high-quality code. Mention the importance of collaboration and using best practices to facilitate a robust codebase.

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How do you keep up-to-date with the latest trends in AI and machine learning?

Share your methods for staying current, such as reading relevant blogs, attending webinars, enrolling in courses, or participating in community discussions. This reflects your commitment to your professional development in the fast-evolving field of AI.

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What strategies do you use to troubleshoot and resolve issues in your code?

Explain a systematic approach you employ for debugging, such as isolating the problem, utilizing debugging tools, and collaborating with teammates when necessary. This showcases your analytical skills and teamwork.

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Describe how you handle changes in project requirements and deadlines.

Highlight your flexibility and adaptability in project management. Provide examples of how you communicated with stakeholders to adjust work priorities while maintaining quality and timeliness.

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Can you describe your experience working in Agile Scrum teams?

Discuss your role in Agile Scrum teams, emphasizing your contributions to sprints, collaboration with team members, and how you adapt to feedback. This shows your collaborative skills and understanding of Agile methodologies.

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How do you approach documenting your work as a Senior Machine Learning Engineer?

Emphasize the importance of clear documentation for future reference and team communication. Discuss your methods, whether through coding comments, project documentation, or status updates, to ensure knowledge transfer.

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What types of machine learning models do you prefer to work with and why?

Be prepared to discuss specific models you are familiar with and the contexts in which they perform best. This displays your expertise and understanding of machine learning applications.

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How do you measure the success of a machine learning solution?

Highlight the metrics or KPIs you utilize to evaluate machine learning solutions. Discuss the importance of metrics in demonstrating the effectiveness and impact of your projects.

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What is your experience with cloud-native platforms in machine learning applications?

Share your experience with specific cloud platforms, detailing any projects where you utilized these technologies. This showcases your technical breadth and knowledge of scalable solutions in machine learning.

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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 4, 2025

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