Job details

Lead Machine Learning Engineer- Machine Learning Platform - job 15 of 21

Get a free resume review

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

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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

At Visa, we're all about fostering a culture where your growth takes center stage and your unique identity is not just acknowledged but celebrated! As a Lead Machine Learning Engineer with our Machine Learning Platform team in Austin, you will play a crucial role in empowering billions of lives by enhancing financial access and shaping the future of money movements. Your work revolves around ensuring a robust soft infrastructure that supports our talented data scientists and researchers in their mission. Our platform facilitates the training of sophisticated statistical and machine learning models using cutting-edge technologies like Kubernetes, Ray, Torch, TensorFlow, XGBoost, and Spark, with development primarily in Python and Go. In this dynamic position, you'll tackle various challenges, such as monitoring infrastructure health, addressing urgent issues, and contributing to overall platform stabilization through rigorous testing. Plus, you get to collaborate with both internal teams and other infrastructure experts to roll out new features that make our processes smoother and more efficient. Mentoring junior developers will also be a part of your journey, helping them grow while enhancing your leadership skills. And don't worry—this role supports a hybrid work environment, so you'll have the flexibility to find the right work-life balance. Come join us at Visa and be a part of something bigger than just a job; it’s a chance to create meaningful change in the world while advancing your career in an inspiring environment!

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?

As a Lead Machine Learning Engineer at Visa, you will be responsible for monitoring infrastructure health, addressing persistent and urgent issues, and contributing to platform stabilization through thorough unit and integration testing. You'll also engage with Kubernetes and data platform teams, implement new infrastructure features, mentor junior developers, and participate in architectural design before implementation.