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Senior Machine Learning Engineer - job 10 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

$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

At Visa in Austin, we’re on the cutting edge of technology with our Senior Machine Learning Engineer role in the Visa AI as a Service (VAIaS) team. Our mission is to operationalize AI and decision intelligence, paving the way for unprecedented business value. Imagine being part of a crew that crafts composable AI capabilities and cloud-native platforms that not only automate but optimize the performance of AI models and services. Here, your passion for development will shine as you create innovative features, mature our code base, and enhance our development processes. Being part of an Agile Scrum team means you'll thrive in a lively setting, filled with dynamic tasks and the opportunity to learn and grow rapidly. You'll dive into investigations, design new functionalities, and refactor systems for better performance and reliability. It’s a unique balance of collaboration and independence where your technical leadership will guide key projects from start to finish, ensuring we deliver high-quality, data-driven solutions on time. Your expertise in web application and service development will help you effectively present solutions while also managing and mitigating issues along the way. In this hybrid position, you’ll have the flexibility to navigate your work-life while contributing to exciting advancements in the payment and AI landscape. If you’re ready to make a real impact and join a team that’s reshaping the future of finance through AI, this could be your dream job at Visa!

Frequently Asked Questions (FAQs) for Senior Machine Learning Engineer Role at Visa
What are the primary responsibilities of a Senior Machine Learning Engineer at Visa?

As a Senior Machine Learning Engineer at Visa, your primary responsibility will be to collaborate with diverse project team members, ensuring the successful implementation of new data-driven business solutions. You'll manage the entire development cycle from concept to delivery, maintaining high standards in code quality and compliance. This role also involves presenting technical solutions in business terms and effectively communicating project status and risks.

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What skills are essential for the Senior Machine Learning Engineer position at Visa?

Essential skills for the Senior Machine Learning Engineer at Visa include solid development experience, problem-solving capabilities, and proficiency in coding, testing, and debugging. Knowledge of web application and web service development is crucial, along with the ability to work dynamically within Agile Scrum teams. Technical leadership and effective communication skills are also vital to navigate your projects successfully.

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What is the work environment like for a Senior Machine Learning Engineer at Visa?

At Visa, the work environment for a Senior Machine Learning Engineer is collaborative and fast-paced, utilizing Agile methodologies. You'll be part of a hybrid team, balancing remote work with in-person collaboration in the Austin office. This setup encourages flexibility while allowing you to engage directly with colleagues across various roles to drive innovation.

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What kind of projects will a Senior Machine Learning Engineer at Visa work on?

As a Senior Machine Learning Engineer at Visa, you will work on exciting projects that involve the creation and enhancement of AI-driven solutions. This may include developing new functionalities, optimizing existing code, and exploring new requirements that drive efficiency and better solutions for our customers in the evolving payments landscape.

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How does a Senior Machine Learning Engineer at Visa contribute to the company's success?

You will contribute to Visa's success as a Senior Machine Learning Engineer by developing high-quality, innovative AI solutions that enhance business operations. Your role involves ensuring timely delivery of these solutions and fostering effective communication across teams, thereby aligning technical capabilities with strategic business goals, ultimately driving growth and performance.

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Common Interview Questions for Senior Machine Learning Engineer
Can you describe your experience with machine learning algorithms?

Absolutely! When answering this question, highlight specific algorithms you’ve used, such as decision trees or neural networks, and provide examples of projects where you applied them. Discuss how you tuned parameters and evaluated model performance to deliver successful outcomes.

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What is your approach to debugging and testing machine learning models?

In answering this question, emphasize your systematic approach. Mention techniques like cross-validation for testing, analyzing model errors, and using debugging tools to track issues. Share examples demonstrating your persistence in ensuring quality and adoption of best practices.

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How do you manage working in an Agile team setting?

Discuss your experience with Agile methodologies, such as Scrum. Highlight how you collaborate with team members, participate in sprint planning and daily stand-ups, and maintain open communication to manage workload and expectations effectively.

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What tools or frameworks do you prefer for development and why?

Share your preferred programming languages like Python, and frameworks such as TensorFlow or PyTorch. Explain why these tools are effective for the challenges you’ve faced in development, emphasizing performance and ease of use.

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Can you give an example of a successful project you led?

Provide a specific example, focusing on the project scope, your contributions as a team leader, and the final impact. Outline the challenges faced during the project and how your solutions led to successful results, ensuring to quantify your accomplishments where possible.

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How do you stay current with developments in machine learning?

Mention your practices for staying updated, such as following specific blogs, attending conferences, or participating in online courses. This shows your proactive approach to continuous learning and adapting to new technologies and methodologies.

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What’s your experience with cloud-native platforms and services?

Discuss your familiarity with platforms like AWS, Google Cloud, or Azure. Offer examples of how you’ve utilized the cloud for deploying machine learning models, managing datasets, and ensuring scalability and performance in your projects.

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How do you handle tight deadlines while maintaining code quality?

Describe your strategies for managing time effectively. Stress your ability to prioritize tasks, your disciplined coding approach to avoid technical debt, and how you ensure that even when working under pressure, the quality of your code remains high.

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Explain a time when you had to refactor existing code. What was your approach?

Share an experience where you identified the need for refactoring. Detail your process for assessing the code, planning the refactor for improved performance, and implementing changes while ensuring no disruption to existing functionalities.

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Why do you want to work at Visa as a Senior Machine Learning Engineer?

Express your enthusiasm for Visa’s innovative work in AI and payments. Discuss how the company’s values align with your professional goals, and your eagerness to contribute to pioneering solutions at the forefront of technological advancement.

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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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