block.xyz
Senior Machine Learning Engineer, Financial Crimes, Cash App
block.xyz, Snowflake, Arizona, United States, 85937
RemoteBay Area, CA, USThe Role
The 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 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.This is an IC role reporting into the Data Science and ML Modeling Manager that has leadership responsibilities including driving strategic roadmaps and priorities to completion by collaborating with cross functional stakeholders.You Will
Design, 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 Have
4+ 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 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.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.
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The 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 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.This is an IC role reporting into the Data Science and ML Modeling Manager that has leadership responsibilities including driving strategic roadmaps and priorities to completion by collaborating with cross functional stakeholders.You Will
Design, 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 Have
4+ 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 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.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.
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