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Senior Machine Learning Engineer- GenAI Platform - job 3 of 6

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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

$140000 / YEARLY (est.)

min

max

$120000K

$160000K

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What You Should Know About Senior Machine Learning Engineer- GenAI Platform, Visa

Are you ready to take the next step in your career as a Senior Machine Learning Engineer at Visa? Join us in Austin, where you’ll be a pivotal force on our Generative AI team, contributing to the design, development, and deployment of cutting-edge Large Language Model (LLM) applications. At Visa's Technology Organization, we’re a dynamic crew of innovators committed to reshaping the future of commerce. Here, you'll tackle complex challenges head-on, working on large-scale projects that impact millions of users worldwide. Your primary responsibilities will include developing and fine-tuning applications using the Retrieval-Augmented Generation (RAG) framework while leveraging various machine learning stacks to boost system efficiency. Collaboration is key, and you'll work alongside product managers, architects, and fellow engineers to deliver high-quality solutions that meet our architectural vision. Your ability to analyze risks and communicate technical solutions in business terms will be crucial. And with a hybrid work model, you’ll enjoy the flexibility of balancing remote work with in-office collaboration. Ready to innovate, inspire change, and shape the digital future of payments? Your next adventure awaits at Visa, and we can't wait for you to dive in!

Frequently Asked Questions (FAQs) for Senior Machine Learning Engineer- GenAI Platform Role at Visa

What are the key responsibilities of a Senior Machine Learning Engineer at Visa?

As a Senior Machine Learning Engineer at Visa, your primary responsibilities will include designing, developing, and deploying LLM applications based on the Retrieval-Augmented Generation (RAG) framework. You'll work with cross-functional teams, delivering end-to-end solutions that meet project requirements and adhere to the architectural vision. Additionally, you will create efficient inferencing algorithms, fine-tune models for various applications, and document processes to enhance team collaboration.