Senior Machine Learning Engineer

Company Description

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, available and accessible, at Cash App you'll have the opportunity to make a real-world impact with your career.

Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We’ve been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices.

Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees’ creativity and productivity wherever they are.

Job Description

Machine Learning at Cash App has swiftly grown to become a central function of the business, with over 100 people working on solving some of the most cutting edge ML questions in FinTech. Our team is continuing to grow and we’re looking for Engineers with experience developing ML pipelines and infrastructure to join us and build out the next generation platform to power use cases across the company. Across the team, we employ methods ranging from simple heuristics to Deep Learning technology to improve our performance and services. We’re also excited to explore new directions with the team to continue pushing the boundaries of what’s possible.

Our ML Engineers operate embedded in product-focused Workstreams and work in close collaboration with Data Scientists, ML Modelers and Software Engineers from across Cash App. Check out our Machine Learning / AI blog here!

Problems you’d work on:

Design elegant ML pipelines and services as well as prototype new approaches and productionize solutions at scale for our 36+ million active users

Create a world class platform for training, hosting and maintaining ML models

Apply ML and engineering best practices to shape how Cash App develops, tests and maintains ML-platform solutions

Help design and execute our long-term Machine Learning strategy across Cash App

Qualifications

You have:

A degree in Computer Science, Computer Engineering, or a related technical field. A graduate degree is a nice to have

3+ years of experience in software development and demonstrated technical initiative and leadership on previous projects

Curiosity and a passion for Cash App's mission of economic empowerment

Experience helping your teammates grow through mentorship and providing constructive feedback

A desire to be hands-on and help invent the future of AI

The ability to work autonomously in the rapidly evolving world of ML

Experience or knowledge in ML is helpful but not a prerequisite: if you are a solid software engineer, then we are happy to train you up in the mysterious ways of ML

Stack:

We value general engineering skill and versatility over existing domain knowledge, but here’s a sample of what we currently use:

Python, Java and Kotlin

Tensorflow and PyTorch

AWS, GCP, and Kubernetes

MySQL, DynamoDB, Kafka, Apache Beam and Google DataFlow