Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.
Job DescriptionAbout 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 your initial focus will be building self-service tooling for the model lifecycle, particularly model deployments, serving, and monitoring, you will also 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.
We are looking for someone who has experience as a machine learning engineer or a software engineer, as we operate at the intersection of those two roles. We prefer candidates who also have experience building platforms. Beyond that:
You will Design and build tools and systems that make data scientists happier and more productiveWork with data science and engineering teams across Block, Cash and Square, to understand their needs and solve their problemsLead architectural and design discussions to ensure our platform is modular, scalable, fault tolerant, and sustainably builtMentor your teammates and assist engineers on other teams who integrate with our platformUse your machine learning knowledge by providing insightful feedbackParticipate in an oncall rotation; maintain reliability standards while ensuring the team's oncall rotation is sustainableQualificationsYou have
8+ years of combined experience in software engineering and machine learning engineering1+ years of experience with the ML lifecycle, such as feature engineering, model training, etc.Strong technical judgment and meaningful experience handling complex technical conceptsExperience with large-scale distributed systems built around MLA track record of healthy collaboration with product managers, engineers, and other stakeholdersPreferred: experience building machine learning platforms or infrastructureAdditional 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 $198,000 - USD $297,000
Zone B: USD $188,100 - USD $282,100
Zone C: USD $178,200 - USD $267,400
Zone D: USD $168,300 - USD $252,500
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. 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 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 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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