Senior Software Engineer, ML Platform

About machine learning ML is essential to Block's daily operations and long‑term success. Its usage has grown dramatically over the past few years and is only accelerating. As more teams integrate ML capabilities, so has the need to avoid duplication by providing shared capabilities. About the team Machine Learning Foundations (MLF) builds scalable, composable components for ML use cases. We work with platform and product teams across the company to amplify their growth by solving complex problems that impact multiple business groups. Block's ML community is too large and moves too quickly for MLF to stay ahead of such a diverse set of needs, so we target a narrower set of use cases to have an outsized impact on our internal customers. About the role We are looking for an experienced engineer to join MLF. While the initial focus will be building self‑service tooling for the model lifecycle, particularly model deployments, serving, and monitoring, you will have opportunities to work across the entire machine learning lifecycle. As a platform engineer, you will work with our internal customers to understand their needs and translate them into sustainable software solutions. You will Design and build tools and systems that make data scientists happier and more productive Work with data science and engineering teams across Block, Cash and Square, to understand their needs and solve their problems Lead architectural and design discussions to ensure our platform is modular, scalable, fault tolerant, and sustainably built Mentor your teammates and assist engineers on other teams who integrate with our platform Use your machine learning knowledge by providing insightful feedback Participate in an on‑call rotation; maintain reliability standards while ensuring the team's on‑call rotation is sustainable Qualifications You have 8+ years of combined experience in software engineering and machine learning engineering 1+ year of experience with the ML lifecycle, such as feature engineering, model training, etc. Strong technical judgment and meaningful experience handling complex technical concepts Experience with large‑scale distributed systems built around ML A track record of healthy collaboration with product managers, engineers, and other stakeholders Preferred: experience building machine learning platforms or infrastructure Benefits Healthcare coverage (Medical, Vision and Dental insurance) Health Savings Account and Flexible Spending Account Retirement Plans including company match Employee Stock Purchase Program Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leave Paid 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 resources Paid Life insurance, AD&D, and disability benefits Pay 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 $198,000 – $297,000 Zone B: USD $188,100 – $282,100 Zone C: USD $178,200 – $267,400 Zone D: USD $168,300 – $252,500 United States and Canada EEOC Statement 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 a proudly 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. Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis. #J-18808-Ljbffr 6AM City, LLC