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Senior Machine Learning Engineer-Visa AI as a Service - job 17 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

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

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

At Visa AI as a Service (VAIaS) in Foster City, we're changing the game with our innovative use of AI to streamline payment processes and enhance decision-making. As a Senior Machine Learning Engineer, you'll be at the forefront of this transformation, spearheading the development of cutting-edge capabilities while refining our code base and production processes. We’re not just looking for a coder; we want a passionate engineer who thrives in Agile Scrum teams, can tackle challenges head-on, and is excited about delivering production-ready code. In this hands-on position, you will collaborate closely with a variety of team members—from Product Managers to Software Engineers—to bring new data-driven business solutions to life. You’ll get to flex your problem-solving skills, and refine existing functionalities for better performance and maintainability, while ensuring that we remain efficient and effective in serving our customers. This role is perfect for someone who is adaptable, enjoys tackling a variety of tasks, and is committed to excellence in all phases of solution development from design to testing. If you're ready to immerse yourself in this fast-paced environment and make a significant impact in the payments and AI landscape, Visa AI as a Service is where you belong. We can’t wait to see the solutions you’ll develop for our customers in this hybrid role, where flexibility meets opportunity.

Frequently Asked Questions (FAQs) for Senior Machine Learning Engineer-Visa AI as a Service Role at Visa
What are the key 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 key responsibilities include driving the development of data-driven business solutions from initial design through to successful implementation. You'll collaborate with project teams to ensure high-quality solution delivery, manage risks, perform hands-on design and testing, and refine existing functionalities to enhance performance and maintainability.

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

Candidates for the Senior Machine Learning Engineer role at Visa AI as a Service should possess solid development experience, particularly in web application and service development. Proficiency in coding, testing, and debugging is essential, along with strong technical leadership and problem-solving abilities. Familiarity with Agile methodologies and a commitment to delivering production-ready code are also critical.

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What technical skills are required for the Senior Machine Learning Engineer role at Visa AI as a Service?

To excel as a Senior Machine Learning Engineer at Visa AI as a Service, you'll need expertise in programming languages and frameworks relevant to AI and data science. Familiarity with cloud-native platforms and privacy-enhancing computation is also advantageous. Strong communication skills are crucial, as you'll need to present technical concepts to non-technical stakeholders effectively.

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How does Visa AI as a Service support professional development for Senior Machine Learning Engineers?

At Visa AI as a Service, we are committed to the ongoing professional development of our team members. As a Senior Machine Learning Engineer, you will have opportunities to learn new technologies, collaborate on innovative projects, and engage in mentoring relationships. We encourage a culture of continuous improvement and provide access to training and resources to help you advance in your career.

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Is the Senior Machine Learning Engineer position at Visa AI as a Service a remote or on-site role?

The Senior Machine Learning Engineer position at Visa AI as a Service is hybrid, allowing for a blend of remote work and in-office collaboration. The specifics regarding in-office expectations will be confirmed by your Hiring Manager, offering flexibility while ensuring engagement with your team.

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Common Interview Questions for Senior Machine Learning Engineer-Visa AI as a Service
Can you describe your experience with machine learning frameworks?

When answering this question, focus on specific frameworks you've used, such as TensorFlow or PyTorch. Highlight your hands-on experience, projects where you applied these frameworks, and the outcomes achieved. Be sure to mention any challenges you faced and how you overcame them.

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How do you approach debugging machine learning models?

To answer effectively, describe your systematic approach to debugging, which may include checking data integrity, reviewing code logic, and using performance metrics to identify issues. Mention any tools or techniques that help you in this process, showcasing your analytical thinking.

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What steps do you take to ensure the quality of your code?

Discuss your commitment to best practices such as code reviews, unit testing, and continuous integration. Emphasize the importance of peer feedback in maintaining code quality and how you incorporate that feedback into your work.

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How do you stay updated with the latest advancements in AI and machine learning?

Discuss your strategies for continuous learning, such as following industry blogs, attending webinars, participating in online courses, and engaging in user communities. This shows your proactive attitude towards professional growth in your field.

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Can you describe a challenging project you've worked on?

Use the STAR method (Situation, Task, Action, Result) to structure your response. Choose a specific project in machine learning that highlights your role, the technical challenges, how you addressed them, and the end result, showcasing your problem-solving abilities.

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How do you prioritize tasks when working with Agile Scrum teams?

Talk about your familiarity with Agile practices, focusing on how you assess project needs, estimate task complexity, and communicate with team members to prioritize effectively. Share any tools you use for task tracking and how you adapt priorities as project demands shift.

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What role do you believe data governance plays in AI development?

Explain the critical importance of data governance in ensuring ethical AI practices, compliance with regulations, and maintaining data integrity. Use examples to illustrate how effective governance can enhance trust in AI solutions.

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How do you communicate technical concepts to non-technical stakeholders?

Discuss your ability to simplify complex technical details into clear, relatable terms. Provide an example of a past experience where you successfully conveyed information to a non-technical audience, emphasizing your communication skills.

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What do you find most exciting about working in AI and payments?

Share your passion for the intersection of AI and payments. Highlight your intrigue in how AI can optimize payment processes, enhance security, or improve user experiences. Your enthusiasm will resonate with interviewers looking for passionate candidates.

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How do you approach collaborative projects within a team?

Discuss your belief in open communication and mutual respect in team settings. Highlight experiences where your collaborative efforts led to productive outcomes, emphasizing your ability to listen as well as contribute to discussions to drive project success.

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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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