Job Abstract

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 closely with platform and product teams across the company to amplify their growth by solving comp... more details

Job Description

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 closely 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 that will 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 closely with our internal customers to understand their needs and translate those into sustainable software solutions.

We are looking for someone who has experience primarily as a machine learning engineer or modeler, as well as a software engineer, as we operate at the intersection of those two roles. Candidates must demonstrate professional experience with the end-to-end ML lifecycle, and 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 productive
Work closely with data science and engineering teams across Block, particularly 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
Leverage your machine learning knowledge by providing insightful feedback
Participate in an oncall rotation; maintain exceptional reliability standards while ensuring the team's oncall rotation is sustainable

Qualifications

You have

8+ years of combined experience in software engineering and machine learning engineering
5+ years 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

Additional Information

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 - 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

To 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 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

These 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.

US 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. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.

Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.

Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.

While there is no specific deadline to apply for this role, on average, U.S. open roles are posted for 70 days before being filled by a successful candidate.

Search Terms: Platform Engineer, Machine Learning, Engineer, Software Engineer, Platform

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Platform Engineer Job Openings: Earn $15-$45/Hr. Immediate Hire

San Francisco

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