Senior AI Engineer, Financial Crimes (Cash App)

Company DescriptionIt 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.Check out our locations, benefits, and more at cash.app/careers.Job DescriptionThe 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.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 cultureQualificationsYou 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 actioningAdditional InformationBlock 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.Zone A: USD $163,600 - USD $245,400Zone B: USD $155,400 - USD $233,200Zone C: USD $147,300 - USD $220,900Zone D: USD $139,000 - USD $208,600To 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.Full-time employee benefits include the following:Healthcare coverage (Medical, Vision and Dental insurance)Health Savings Account and Flexible Spending AccountRetirement Plans including company matchEmployee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowancePaid parental and caregiving leavePaid time off (including 12 paid holidays)Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees)Learning and Development resourcesPaid Life insurance, AD&D, and disability benefitsThese benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.United States and Canada EEOC StatementWe’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 a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other 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.

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