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Senior Machine Learning Engineer - job 12 of 25

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. 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

$140000 / YEARLY (est.)
min
max
$120000K
$160000K

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

Joining Visa AI as a Service (VAIaS) as a Senior Machine Learning Engineer in Austin means stepping into a role where innovation meets impact. In this exciting position, you'll harness the power of AI and decision intelligence to enhance business value through cutting-edge technology. If you're someone who thrives in dynamic Agile Scrum teams and has a solid background in software development, you'll find yourself in the heart of transformation. Your challenge will be to create new capabilities that drive Visa's AI initiatives while maturing our existing code base. Expect to roll up your sleeves alongside product managers, architects, and analysts, ensuring the delivery of high-quality data-driven solutions that align with our architectural vision. This role isn't just about coding; it's about collaborating and presenting technical solutions in a way that resonates within a business context. With your strong coding, testing, and debugging skills, you'll help us develop efficient solutions for end users. Plus, the hybrid work environment allows for flexibility, blending remote work with in-office collaboration. If you're ready to make impactful contributions and grow your expertise in the payment and AI space, Visa's VAIaS is the perfect place for you!

Frequently Asked Questions (FAQs) for Senior Machine Learning Engineer Role at Visa
What responsibilities does the Senior Machine Learning Engineer have at Visa AI as a Service?

The Senior Machine Learning Engineer at Visa AI as a Service is responsible for end-to-end development efforts, ensuring the timely delivery of high-quality AI solutions. This includes collaborating with cross-functional teams, driving the development of new capabilities, managing project risks, and presenting technical solutions clearly. The role requires strong problem-solving skills and a dedication to optimizing existing functionalities for better performance and maintainability.

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What qualifications are needed to become a Senior Machine Learning Engineer at Visa?

To qualify as a Senior Machine Learning Engineer at Visa, candidates should possess a strong background in software development, particularly in web application and service development. The ideal candidate will have experience working within Agile Scrum teams, alongside proven technical leadership and excellent communication skills. Familiarity with AI models and a readiness to engage in all phases of the solution development process are essential.

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How does the hybrid work model function for the Senior Machine Learning Engineer position at Visa?

The Senior Machine Learning Engineer role at Visa offers a hybrid work model, allowing employees to alternate between remote work and in-office attendance. Typically, team members are expected to be in the office 2-3 days a week, based on team and business needs. This flexible arrangement supports collaboration while providing the benefits of remote work.

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What skills are crucial for success as a Senior Machine Learning Engineer at Visa?

Key skills for success in the Senior Machine Learning Engineer position at Visa includes strong coding, testing, and debugging abilities. Additionally, candidates should be proficient in problem-solving, adaptation to dynamic environments, and clear communication. Experience with AI governance and an understanding of cloud-native platforms will also enhance performance in this role.

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What is the role of collaboration in the Senior Machine Learning Engineer position at Visa?

Collaboration is at the core of the Senior Machine Learning Engineer role at Visa. Engineers work closely with product managers, architects, and other team members to align on project goals, address challenges proactively, and communicate technical requirements effectively. This team-oriented approach ensures that all developed solutions meet specified requirements while conforming to the architectural vision.

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Common Interview Questions for Senior Machine Learning Engineer
Can you explain your experience with Agile methodologies as a Senior Machine Learning Engineer?

In answering this question, discuss specific Agile projects you've been part of, highlighting your role in sprints and ceremonies. Emphasize how Agile principles improved project outcomes, your ability to adapt to changes quickly, and how you contributed to team collaboration.

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What approach do you take when developing scalable AI solutions?

Detail your methodology for designing scalable AI systems, including choosing appropriate algorithms, data structures, and cloud resources. Share examples of past experiences where your solutions managed large data sets or handled increasing loads effectively.

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How do you prioritize backlog items as a Senior Machine Learning Engineer?

Discuss your framework for prioritizing tasks based on business impact, customer needs, and technical feasibility. Provide an example where you successfully managed competing priorities and delivered on time.

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Tell us about a challenging problem you solved in your previous projects.

Share a specific technical challenge, outlining how you approached the problem, your methodology in investigating potential solutions, and the ultimate impact your resolution had on the project.

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What experience do you have with AI governance and compliance?

Briefly discuss your understanding of AI governance principles, compliance regulations, and any direct experience you have had in implementing practices that ensure ethical AI application in your projects.

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How do you handle debugging in your development process?

Explain your systematic approach to debugging, including specific tools and techniques you employ. Share an example of a complex bug you tackled and how your resolution improved the overall quality of the code.

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What tools and technologies do you prefer when developing AI models?

Mention the tools, languages, and frameworks you're proficient in, such as Python, TensorFlow, or PyTorch. Highlight your reasons for these preferences and how they enhance your development efficiency.

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Describe a successful collaboration you've had with cross-functional teams.

Share a specific instance where effective communication and teamwork led to a successful project outcome. Discuss how you navigated different perspectives and ensured everyone was aligned towards common goals.

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What steps do you take to ensure quality assurance in your code?

Discuss your approach to quality assurance which may include code reviews, unit testing, or continuous integration practices. Share how these steps contribute to maintaining a high standard of work.

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Where do you see the field of machine learning heading in the next few years?

Provide insights into future trends in machine learning, such as advancements in explainability, automation of ML operations, or regulatory changes. Highlight how you plan to stay ahead, such as ongoing education or involvement in machine learning communities.

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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 21, 2025

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