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Staff Machine Learning Engineer- Machine Learning Platform - job 6 of 12

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Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions, and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive.

When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

This opportunity is in Visa's Machine Learning Platform. The Machine Learning Platform provides soft infrastructure support to Visa's data scientists and researchers. We enable the training of statistical and machine learning models via development and maintenance of a distributed computing stack. Frameworks used in the stack are: Kubernetes, Ray, Torch, Tensorflow, XGBoost, and Spark. Development is primarily in Python and Go.

We are a cross-functional team that interfaces both with internal data science and research clients as well as other hard and soft infrastructure teams.

Responsibilities for this role include:

--Monitoring of infrastructure health and problem solving to address persistent or urgent issues

--Platform stabilization, including unit and integration testing

--Interfacing with Kubernetes and data platform teams

--Implementation of new infrastructure features

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Average salary estimate

$140000 / YEARLY (est.)

min

max

$120000K

$160000K

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

Are you ready to take your career to the next level with an exciting opportunity as a Staff Machine Learning Engineer at Visa in Austin? At Visa, we’re not just about payments; we're about creating a world where everyone can thrive. Our innovative Machine Learning Platform is central to this mission, empowering our data scientists and researchers with the support they need to develop and implement cutting-edge machine learning models. You’ll work closely with a cross-functional team, using powerful frameworks like Kubernetes, Ray, Torch, TensorFlow, XGBoost, and Spark, primarily coding in Python and Go. Your main responsibilities will include monitoring infrastructure health, troubleshooting persistent problems, and ensuring our platform remains stable through rigorous testing. As a pivotal member of our team, you will also interface with the Kubernetes and data platform teams while rolling out new infrastructure features to enhance model training capabilities. Plus, this hybrid position offers you the flexibility to balance your work environment as needed. If you’re passionate about driving innovation and making a real difference in financial access globally, Visa is the perfect place for you!

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

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

As a Staff Machine Learning Engineer at Visa, you will tackle crucial tasks such as monitoring the health of our machine learning infrastructure, resolving urgent issues, and ensuring platform stability through extensive unit and integration testing. Additionally, you will collaborate with Kubernetes and data platform teams to implement new infrastructure features that enhance the training of machine learning models.