Cash
Senior Machine Learning Engineer, Financial Crimes, Block
Cash, California, Missouri, United States, 65018
RemoteBay Area, CA, USThe Role
The Block Financial Crimes Machine Learning team is responsible for detecting, preventing, and reporting illegal activity across all markets in which Block operates. We work globally with partners in business, engineering, counsel, and product to ensure we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform.We leverage Machine Learning as an integral part of our toolkit to fulfill our mission. We employ scalable solutions in order to monitor hundreds of billions of dollars in transactions. We uncover and put an end to money laundering, terrorist financing, and other illegal activities before they impact our users. Additionally, we improve workflow and case tools, adding features that empower investigator productivity and automate the high volume of monitoring. We are looking for senior MLEs interested in building scalable frameworks for deploying machine learning solutions in production environments.You Will
Design and build services and tooling that support our ML modelers and analystsIntegrate diverse data streams across products to build high-quality signals that power efficient modelsBe the MLOps lead and facilitate modelers on the team by unblocking access to the infrastructure/tools necessary for development & production workDevelop prototypes and partner with ML modelers to encourage adoption of new tools and technologiesProactively identify new opportunities and future needs of our ML teamsLead by example by applying ML and engineering best practicesStay current on ML infrastructure changes at Block and advocate/educate the team about new developments by sharing resources, demos, and PoCsHave a significant impact on influencing team culture and directionYou Have
5+ years of software engineering or machine learning experienceA degree (preferable graduate level) in Computer Science, Engineering, Statistics, Physics, Applied Math or a related technical fieldAn ability to maintain critical production software and build new production software from scratchPrior experience working with product, engineering, and business to prioritize, scope, design, and deploy ML tooling and infrastructure at scaleNatural curiosity and desire to grow and help shape all aspects of our small and growing teamExcellent written and oral communication skills, both technical and non-technical, and are comfortable working with a cross-functional, globally distributed team
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The Block Financial Crimes Machine Learning team is responsible for detecting, preventing, and reporting illegal activity across all markets in which Block operates. We work globally with partners in business, engineering, counsel, and product to ensure we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform.We leverage Machine Learning as an integral part of our toolkit to fulfill our mission. We employ scalable solutions in order to monitor hundreds of billions of dollars in transactions. We uncover and put an end to money laundering, terrorist financing, and other illegal activities before they impact our users. Additionally, we improve workflow and case tools, adding features that empower investigator productivity and automate the high volume of monitoring. We are looking for senior MLEs interested in building scalable frameworks for deploying machine learning solutions in production environments.You Will
Design and build services and tooling that support our ML modelers and analystsIntegrate diverse data streams across products to build high-quality signals that power efficient modelsBe the MLOps lead and facilitate modelers on the team by unblocking access to the infrastructure/tools necessary for development & production workDevelop prototypes and partner with ML modelers to encourage adoption of new tools and technologiesProactively identify new opportunities and future needs of our ML teamsLead by example by applying ML and engineering best practicesStay current on ML infrastructure changes at Block and advocate/educate the team about new developments by sharing resources, demos, and PoCsHave a significant impact on influencing team culture and directionYou Have
5+ years of software engineering or machine learning experienceA degree (preferable graduate level) in Computer Science, Engineering, Statistics, Physics, Applied Math or a related technical fieldAn ability to maintain critical production software and build new production software from scratchPrior experience working with product, engineering, and business to prioritize, scope, design, and deploy ML tooling and infrastructure at scaleNatural curiosity and desire to grow and help shape all aspects of our small and growing teamExcellent written and oral communication skills, both technical and non-technical, and are comfortable working with a cross-functional, globally distributed team
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