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:
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.
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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!
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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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