Senior Machine Learning Engineer - Banking

Posted 10 Hours Ago
Be an Early Applicant
8 Locations
Remote
Hybrid
Senior level
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
We want to make the world’s relationship with money more relatable, instantly available, and universally accessible.
The Role
As a Senior Machine Learning Engineer in the Banking team at Cash App, you will develop and maintain machine learning systems to combat fraud in banking products. Your responsibilities will include designing ML pipelines, creating training platforms for models, and applying best practices to enhance ML solutions.
Summary Generated by Built In

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 ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world's relationship with money to make it more relatable, instantly available, and universally accessible.
Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We've been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.
The Role
As part of the Machine Learning Engineering Banking team, you will play a critical part in utilizing machine learning methods and systems to reduce the prevalence of fraudulent behavior within Cash's banking products and ecosystem. Our primary responsibility is fortifying our first line of defense against bad actors attempting to extract money from our customers or from the company. Areas that we own include Cash Card, Deposits and Withdrawals, and Dispute Claim Investigations. When we are successful, we build more trust within our customer base and allow for the continued expansion of safe products to give more economic empowerment to our customers. By leveraging machine learning, we aim to ensure that everyone has equal access to the financial services they require, irrespective of their background or financial history.
Specifically this role focuses on using machine learning to develop risk-based experiences that increases access for good customers, prevention of fraudulent transactions and activity on customer accounts, and ensuring that customers can trust that Cash App is a safe place to store their hard earned funds.
Our team is continuing to grow and we're looking for Engineers with experience developing ML pipelines and infrastructure to build out the next-generation ML solutions to power use cases across the company. Across the team, we employ methods ranging from simple heuristics, Machine Learning models, and utilization of Large Language Models (LLMs) 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 work in close collaboration with Data Scientists, ML Modelers and Software Engineers from across Cash App. Check out our Machine Learning / AI blog here !
You Will

  • Design elegant ML pipelines and services as well as prototype new approaches and productionize solutions at scale for our 50+ 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


You Have

  • 8+ years of experience in software development and demonstrated technical initiative and leadership on previous machine learning 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 in the mysterious ways of ML


Technologies We Use and Teach

  • Python, Java and Kotlin
  • Tensorflow and PyTorch
  • AWS, GCP, and Kubernetes
  • MySQL, DynamoDB, Kafka, Apache Beam, Flink and Google DataFlow


We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D page .
Block will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
To find a location's zone designation, please refer to this resource . If a location of interest is not listed, please speak with a recruiter for additional information.
Zone A:
$198,000 - $297,000 USD
Zone B:
$188,100 - $282,100 USD
Zone C:
$178,200 - $267,400 USD
Zone D:
$168,300 - $252,500 USD
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.

Top Skills

Machine Learning
The Company
Atlanta, GA
3,500 Employees
Hybrid Workplace
Year Founded: 2013

What We Do

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, instantly available and universally accessible.

Why Work With Us

At Cash App, our mission is simple yet ambitious: to redefine the world’s relationship with money by making it more relatable, instantly available, and universally accessible. To make this real, we’re building a team of dreamers, innovators, and risk-takers to break the mold of what a financial brand can be. If that’s you, then come join us.

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Cash App Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Cash App has always been a distributed team working across timezones and continents. Today, we're remote-first by default, but encourage you to choose how you want to work: from home, one of our offices, or a mix of both.

Typical time on-site: Flexible
Kitchener, Ontario
Toronto, Ontario

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