Job details

Lead Machine Learning Engineer- Machine Learning Platform - job 1 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

As a Lead Machine Learning Engineer at Visa in Austin, you'll be stepping into a vibrant culture that values your growth and identity while directly impacting billions of individuals worldwide. This role in Visa's Machine Learning Platform is all about enabling our talented data scientists and researchers to thrive. You'll be part of a highly collaborative cross-functional team that leverages powerful frameworks such as Kubernetes, Ray, Torch, Tensorflow, XGBoost, and Spark. In this dynamic environment, your responsibilities will span from monitoring the health of our infrastructure to addressing urgent issues and stabilizing the platform through extensive unit and integration testing. You'll also have the opportunity to mentor junior developers, guiding them through best practices while ensuring the architectural design of our new infrastructure features is sound before implementation. Your development work will primarily focus on Python and Go, ensuring you're at the forefront of technology while also interacting with both internal data science teams and external infrastructure teams. We embrace a hybrid work model, with days in the office to be coordinated with your hiring manager, giving you the flexibility to achieve a healthy work-life balance while nurturing your professional journey and contributing to a future where financial access is inclusive for everyone.

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

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

The Lead Machine Learning Engineer at Visa will monitor infrastructure health, solve urgent issues, stabilize the platform through unit and integration testing, interface with Kubernetes and data platform teams, and implement new infrastructure features while mentoring junior developers.