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Senior Machine Learning Engineer - job 19 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

As a Senior Machine Learning Engineer at Visa, based in vibrant Austin, you'll find yourself at the forefront of innovation in the payment and AI space. Visa AI as a Service (VAIaS) is all about operationalizing AI and decision intelligence to maximize business value. With a focus on composable AI capabilities and privacy-enhancing computation, you will help refine our cloud-native platforms to ensure they are performing at their best. Your primary mission will be to create new capabilities for VAIaS while enhancing our existing code base and development processes. Being part of an Agile Scrum team means collaboration is key, and your technical leadership and coding talent will shine as you work on delivering production-ready code. Not just another developer, you’ll take on the challenge of investigating new requirements and refining existing functionalities for enhanced efficiency. Flexibility is vital, as you will switch between tasks based on team needs. You’ll engage in hands-on development activities that include design, documentation, and testing of new functionalities, ensuring your contributions lead to better solutions for our customers. This hybrid role allows you to balance remote work and in-office collaboration, emphasizing the importance of teamwork as you work with Product Managers, Architects, and Analysts to drive data-driven business solutions. Join us and be a part of something big at Visa – where you can learn fast and make a significant impact!

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

As a Senior Machine Learning Engineer at Visa, you will collaborate with various project team members to develop and implement data-driven business solutions. Your responsibilities will span all phases of solution development, ensuring high-quality delivery that meets architectural visions and standards. You'll also be expected to present technical solutions in business terms, manage risks and issues, and communicate effectively with team members.

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What qualifications do I need to apply for a Senior Machine Learning Engineer position at Visa?

To apply for the Senior Machine Learning Engineer role at Visa, candidates typically need solid development experience, particularly in web application and web service development. A strong background in coding, testing, debugging, and agile methodologies is crucial. Additionally, problem-solving abilities and technical leadership skills will be highly valued as you work collaboratively within an Agile Scrum team.

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What can I expect from the work environment as a Senior Machine Learning Engineer at Visa?

As a Senior Machine Learning Engineer at Visa, you can expect a dynamic work environment that values collaboration and Agile methodologies. This hybrid position allows for flexibility, as engineers can alternate between remote and office work, fostering a setting where team interaction is prioritized. You’ll work closely with various stakeholders to ensure successful outcomes for projects.

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How does collaboration work for a Senior Machine Learning Engineer at Visa?

Collaboration for a Senior Machine Learning Engineer at Visa involves engaging with a diverse group of professionals, including Product Managers, Architects, Analysts, and fellow Software Engineers. You will be part of Agile Scrum teams where you'll jointly identify new requirements, discuss technical considerations, and ensure the implementation of high-quality solutions. Your ability to communicate effectively will be essential in driving projects forward.

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What skills will make me successful as a Senior Machine Learning Engineer at Visa?

Success as a Senior Machine Learning Engineer at Visa relies on a blend of technical and soft skills. Proficiency in development and a strong understanding of machine learning concepts are key. Additionally, problem-solving skills, flexibility to adapt to changing tasks, effective communication, and leadership capabilities will contribute to your effectiveness within Agile teams, ultimately leading to the successful delivery of projects.

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Common Interview Questions for Senior Machine Learning Engineer
What experience do you have with machine learning models?

Prepare to describe specific machine learning projects you have worked on, including the types of models developed and the results achieved. Focus on your role in the project, the problem it solved, challenges faced, and how you improved model performance.

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Can you explain the Agile methodology?

Explain how Agile emphasizes collaboration, customer feedback, and iterative development. Discuss your experiences working in Agile Scrum teams, highlighting how these principles helped in delivering successful projects and adapting to changing requirements.

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How do you approach debugging code?

Discuss your systematic approach to debugging, mentioning tools or techniques you use. Provide examples of past debugging experiences where you diagnosed and resolved complex issues effectively to maintain code integrity.

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What steps do you take to ensure code quality?

Mention practices such as code reviews, unit testing, and continuous integration. Share how these practices, when applied, lead to higher code reliability and how they fit into your work as a Senior Machine Learning Engineer.

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Describe a challenging project you worked on and how you managed it.

Provide details about a specific project, the challenges faced, your strategies for management, and the outcomes. Emphasize teamwork, problem-solving skills, and your role in navigating through obstacles.

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

Discuss various sources you utilize to stay informed, such as industry journals, forums, webinars, and professional networks. Showcase your proactive approach to continuous learning and improvement in your field.

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What role do you think machine learning plays in business solutions?

Share your insights on the significance of machine learning in data-driven decision-making, automation, and enhancing customer experiences. Provide examples to support your points, showcasing your understanding of its impact on business strategies.

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How do you prioritize tasks in a project?

Explain your method for assessing the urgency and importance of tasks. Discuss the use of prioritization frameworks, collaboration with your team, and how you maintain flexibility in adapting to changing project demands.

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What’s your experience with cloud-native platforms?

Highlight your experience with specific cloud technologies and services. Discuss how these tools have enhanced your deployment of machine learning models and their impact on system scalability and performance.

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

Express your enthusiasm for contributing to Visa’s innovative AI-driven solutions. Mention specific interests in the projects VAIaS undertakes and how your skills align with the company’s mission and culture, highlighting your potential impact.

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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...

11861 jobs
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DATE POSTED
April 18, 2025

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