What are the responsibilities and job description for the Staff Machine Learning Engineer (Modeling), Personalization position at Cash App?
Staff Machine Learning Engineer (Modeling), Personalization RemoteBay Area, CA, USPosted Date : 02 / 11 / 25Posted 10 days agoThe Role Machine Learning is an integral part of how we design products, operate, and pursue Cash App's mission to serve the unbanked as well as disrupt traditional financial institutions. Our massive scale and deep trove of transaction data create an endless number of opportunities to use artificial intelligence to better understand our customers and offer new products and experiences that can improve their lives. We are a highly creative group that prefers to solve problems from first principles; we move quickly, make incremental changes, and deploy to production every day.This role is part of Cash App's Personalization ML Team. This team aims to personalize every interaction that our customers have with Cash App. This team oversees all personalization Machine Learning projects for Cash App & Afterpay, including recommendations, search retrieval / ranking, growth, incentives, and cross / up-sell.You Will Partner closely with product and marketing teams to build a tailored experience that helps drive growth, engagement and revenue for Cash AppBuild and deploy machine learning models across our personalization domainYou Have Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree is preferred6 years of experience in machine learning, data analysis, or a related fieldStrong knowledge of machine learning algorithms and data analysis techniquesExcellent problem-solving skills and attention to detailStrong communication skills, with the ability to explain complex concepts to non-technical stakeholdersNice to Haves Experience working with Generative AI and its applications in personalizationContributions to research or publications in areas such as graph-based modeling, recommendation systems, customer retention (e.g., churn prediction), or lifetime value estimationExperience with Graph AI algorithms and network discovery techniques, including analyzing complex relationships and patterns within data networksTechnologies We Use and Teach MySQL, Snowflake, GCP / AWS and TableauDeep Learning (embeddings, two-tower, semantic search)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 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 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.Zone A : USD $228,700 - USD $343,100Zone B : USD $217,300 - USD $325,900Zone C : USD $205,900 - USD $308,900Zone D : USD $194,500 - USD $291,700Every benefit we offer is designed with one goal : empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offerings.Block, Inc. (NYSE : XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people.#J-18808-Ljbffr
Salary : $194,500 - $291,700
