Cash App
Senior Machine Learning Engineer, Financial Crimes, Cash App
Cash App, San Francisco, California, United States, 94199
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 47 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 RoleThe Financial Crimes Technology team at Cash App detects and reports illegal and suspicious activity on Cash App. We work globally with partners in Product, Counsel and Engineering to ensure we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform.We use Machine Learning and Generative AI as an important part of our toolkit. As Cash App scales, we monitor hundreds of billions of dollars in transactions across traditional payment and blockchain networks. Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review. Our systems block payments in real-time where appropriate. We use generative AI technologies to improve agent workflow and case review tools, by adding features that accelerate agent productivity and allow them to make more informed and accurate decisions. We are looking for a senior MLE that can integrate vertically into the ML sub-team and focus on building/enhancing tools, libraries, frameworks, developer environments etc. for ML modeling workflows.
You WillDesign, build and enhance batch and real-time inference services and tooling that support our ML use casesFacilitate modelers on the team by unblocking access to the infrastructure/tools necessary for development including MLOpsDevelop prototypes and partner with ML modelers to encourage adoption of new tools and technologies and plan for future needs of our ML teamsJoin a new and growing team and have a significant impact on influencing team cultureYou Have4+ years of combined Machine Learning and Engineering industry experience (full stack ML experience)A Bachelor's degree in computer science, data science, operations research, applied math, stats, physics, or related technical fieldFamiliarity with Linux/OS X command line, version control software (git), and software development principles with a machine learning software development life-cycle orientationExperience working with product, business, and engineering to prioritize, scope, design, and deploy ML modelsFamiliarity with Python computing stack, MySQL, Snowflake, Airflow, Java/GoHosted models for inference on public clouds like GCP, AWS and/or built micro-services to facilitate event based triggering, feature generation, model inference and downstream actioningWe’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.Zone A$163,600—$245,400 USDZone B$155,400—$233,200 USDZone C$147,300—$220,900 USDZone D$139,000—$208,600 USDBlock, 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.Privacy Policy
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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 RoleThe Financial Crimes Technology team at Cash App detects and reports illegal and suspicious activity on Cash App. We work globally with partners in Product, Counsel and Engineering to ensure we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform.We use Machine Learning and Generative AI as an important part of our toolkit. As Cash App scales, we monitor hundreds of billions of dollars in transactions across traditional payment and blockchain networks. Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review. Our systems block payments in real-time where appropriate. We use generative AI technologies to improve agent workflow and case review tools, by adding features that accelerate agent productivity and allow them to make more informed and accurate decisions. We are looking for a senior MLE that can integrate vertically into the ML sub-team and focus on building/enhancing tools, libraries, frameworks, developer environments etc. for ML modeling workflows.
You WillDesign, build and enhance batch and real-time inference services and tooling that support our ML use casesFacilitate modelers on the team by unblocking access to the infrastructure/tools necessary for development including MLOpsDevelop prototypes and partner with ML modelers to encourage adoption of new tools and technologies and plan for future needs of our ML teamsJoin a new and growing team and have a significant impact on influencing team cultureYou Have4+ years of combined Machine Learning and Engineering industry experience (full stack ML experience)A Bachelor's degree in computer science, data science, operations research, applied math, stats, physics, or related technical fieldFamiliarity with Linux/OS X command line, version control software (git), and software development principles with a machine learning software development life-cycle orientationExperience working with product, business, and engineering to prioritize, scope, design, and deploy ML modelsFamiliarity with Python computing stack, MySQL, Snowflake, Airflow, Java/GoHosted models for inference on public clouds like GCP, AWS and/or built micro-services to facilitate event based triggering, feature generation, model inference and downstream actioningWe’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.Zone A$163,600—$245,400 USDZone B$155,400—$233,200 USDZone C$147,300—$220,900 USDZone D$139,000—$208,600 USDBlock, 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.Privacy Policy
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