Job details

Lead Machine Learning Engineer- Machine Learning Platform - job 11 of 21

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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

--Mentorship of junior developers

--Pre-implementation architectural design

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

Average salary estimate

$135000 / YEARLY (est.)

min

max

$120000K

$150000K

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

At Visa, we’re excited to invite a Lead Machine Learning Engineer- Machine Learning Platform to join our dynamic team in Austin! Here at Visa, we’re all about building a culture where you feel a sense of purpose and belonging. Your unique identity is valued, and your work will have a genuine impact by enhancing financial access for billions across the globe. In this role, you’ll dive into our Machine Learning Platform, supporting our talented data scientists and researchers by ensuring they have excellent infrastructure to train their statistical and machine learning models. You’ll work with cutting-edge technologies like Kubernetes, Ray, Torch, Tensorflow, XGBoost, and Spark, primarily using Python and Go for development. Your day-to-day will involve monitoring infrastructure health, troubleshooting ongoing issues, and supporting platform stabilization through unit and integration testing. You’ll collaborate with both the Kubernetes team and the data platform teams, implement new infrastructure features, and take an active role in mentoring our junior developers. Plus, your input in architectural design for pre-implementations will be invaluable. Being a hybrid position means you’ll enjoy the flexibility of remote work with some in-office days, confirmed by your hiring manager. If you’re ready to bring your skills to the table and help us shape the future of money movement, we’d love to hear from you!

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

What are the responsibilities of the Lead Machine Learning Engineer at Visa?

As a Lead Machine Learning Engineer at Visa, your responsibilities will include monitoring the health of our infrastructure, solving persistent problems, and stabilizing the platform through rigorous unit and integration testing. You will interface with the Kubernetes and data platform teams, implement new features, and help mentor junior developers, ensuring that they grow and excel in their roles.