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Senior Machine Learning Engineer- GenAI Platform - job 1 of 6

Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and tackle massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. 

The Opportunity:

We are looking for a versatile, curious, and energetic Senior Machine Learning Engineer to join our team of passionate and dedicated engineers. We are the backbone for Data Engineering and Machine Learning developments at Visa and we thrive on solving complex challenges on a global scale! As a Senior Machine Learning Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing products that reach a truly global customer base.

You will face big challenges and question the status quo, changing the way data products are developed at Visa! Come join us and see your efforts shape the digital future of payments.

The Work Itself:

The Senior ML Engineer, as a part of our Generative AI team, will play a multifaceted role in the design, development, and deployment of our Large Language Model (LLM) applications. Key responsibilities will include creating applications based on the Retrieval-Augmented Generation (RAG) framework, developing efficient inferencing algorithms, and fine-tuning the LLM to cater to various applications.

This role will also involve leveraging various machine learning stacks to enhance system efficiency, researching new techniques to advance our LLM applications, and collaborating with cross-functional teams within the organization. In addition, the engineer will be responsible for documenting processes and workflows and sharing insights with the team.

This position requires a solid understanding of AI and machine learning principles, robust problem-solving skills, and the ability to thrive in a fast-paced, dynamic environment.

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.
  • 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- GenAI Platform, Visa

At Visa, we're on a mission to reshape the future of commerce, and we're looking for a talented Senior Machine Learning Engineer to join our GenAI Platform team in Austin. If you’re an engineer who thrives on solving complex challenges and has a passion for data-driven solutions, this could be your perfect role! As part of our dynamic team, you'll tackle massive scale problems involving new payment flows and cutting-edge business solutions in a fast-paced environment. The role primarily revolves around Design, Develop, and Deploy applications based on Large Language Models (LLM) with a specific focus on the Retrieval-Augmented Generation (RAG) framework. You’ll collaborate with various talented professionals, including product managers and software engineers, to deliver high-quality, innovative solutions that meet our architectural vision while adhering to industry standards. In addition to technical skills, strong communication and problem-solving capabilities are essential as you will document processes, share insights, and present solutions in a relatable manner. Here at Visa, not only will you work on groundbreaking technologies, but you’ll also play a vital role in influencing how data products are developed globally. If you are ready to dive into the world of AI and machine learning and contribute to the digital future of payments, we want to hear from you!

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

The Senior Machine Learning Engineer at Visa is responsible for designing, developing, and deploying applications based on Large Language Models, focusing on the Retrieval-Augmented Generation framework. Your role will involve creating efficient inferencing algorithms, enhancing system effectiveness using various machine learning stacks, and collaborating with cross-functional teams to ensure solutions meet requirements and architectural vision.

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What qualifications do I need to become a Senior Machine Learning Engineer at Visa?

To qualify for the Senior Machine Learning Engineer position at Visa, you should have a solid understanding of AI and machine learning principles, along with robust problem-solving skills. Previous experience in software engineering, particularly in developing and deploying machine learning models, is essential. Familiarity with the Retrieval-Augmented Generation framework and large-scale application development would be highly beneficial.

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

The hybrid work model for the Senior Machine Learning Engineer position at Visa allows for a flexible balance between remote and in-office work. Employees are expected to work in the office 2-3 set days a week, as determined by leadership, with a general guidepost of being in the office 50% or more of the time based on business needs.

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What type of projects will I work on as a Senior Machine Learning Engineer at Visa?

As a Senior Machine Learning Engineer at Visa, you will work on projects that involve creating innovative applications for the GenAI platform, specifically utilizing large language models. You'll face challenges related to new payment flows and data solutions, contributing to high-impact projects that shape the future of digital payments.

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

The team environment for a Senior Machine Learning Engineer at Visa is highly collaborative and multi-functional, involving interactions with product managers, software engineers, and analysts. This collaborative setting fosters diverse perspectives, creativity, and collective problem-solving to drive the development of cutting-edge machine learning applications.

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Common Interview Questions for Senior Machine Learning Engineer- GenAI Platform
Can you explain your experience with large language models as a Senior Machine Learning Engineer?

When answering this question, discuss specific projects where you've developed or deployed large language models, focusing on the frameworks and techniques you used, such as Retrieval-Augmented Generation. Highlight the goals you aimed to achieve and any measurable outcomes.

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How do you approach problem-solving in machine learning projects?

Explain your systematic approach to problem-solving, outlining steps such as defining the problem, researching solutions, iteratively testing models, and collaborating with team members. Providing a relevant example will make your answer more impactful.

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Describe a successful project you've worked on that involved machine learning.

Choose a project where you had a significant impact, detailing your role, the challenges faced, and how you addressed them. Discuss the methodologies used and the results achieved to showcase your contributions.

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What methodologies do you prefer for building machine learning applications?

Share your preferred methodologies, such as Agile or Waterfall, and explain why they work well in your experience. Be sure to relate your answer to the context of large-scale applications in a collaborative environment like Visa.

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How do you ensure the quality and reliability of machine learning solutions?

Discuss strategies you employ to maintain quality and reliability, such as conducting thorough testing, validating models against benchmarks, and gathering feedback from stakeholders. Emphasize the importance of cross-validation and continuous integration.

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

Mention resources you follow, such as research papers, online courses, or industry conferences. Explain how you apply this knowledge to enhance your work as a Senior Machine Learning Engineer, especially at a fast-paced organization like Visa.

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What would you do if a machine learning model doesn't perform as expected?

Share your troubleshooting process, including reviewing the data, analyzing model parameters, and iterating on your approach based on findings. Emphasizing the importance of learning from failures will demonstrate your growth mindset.

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How do you handle tight deadlines on machine learning projects?

Talk about your time management strategies, such as prioritizing essential tasks, breaking projects into manageable steps, and collaborating effectively with others. Highlight the importance of flexibility and adaptability under pressure.

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What kind of team dynamics do you find most effective in machine learning projects?

Discuss the importance of clear communication, defined roles, and collaborative teamwork in achieving project goals. Provide examples of effective team dynamics you've experienced in previous roles, especially in technical environments.

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

To answer this question, convey your passion for innovative technology and how Visa's mission aligns with your career objectives. Discuss your excitement about contributing to high-impact projects and the unique challenges presented in the role.

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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 18, 2025

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