Senior Machine Learning Engineer, Personalization

Posted 25 Days Ago
8 Locations
Hybrid
5-7 Years Experience
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
We want to make the world’s relationship with money more relatable, instantly available, and universally accessible.
The Role
As a Senior Machine Learning Engineer in Personalization, you'll design and manage distributed services and tools for machine learning applications, lead projects across engineering boundaries, and collaborate with various teams. Your role includes building recommendation and ranking systems while ensuring high code quality and providing mentorship to teammates.
Summary Generated by Built In

It 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 50+ 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.
The Role
The Personalization Machine Learning (PML) team strives to create a personalized experience on Cash App and Afterpay by tailoring content for our customers. Our team is continuing to grow and we're looking for ML Engineers who are excited about building thoughtful software and solving interesting problems. Our problems span many technologies, from server-side development and machine learning pipelines to web.
As a member of the ML systems engineering team, you will work very closely with ML Modelers, product managers, server and client engineering teams to productionize the personalization models on Cash App. The PML engineering team is the main interface between the world of ML and product engineering, and as such your work will include everything from backend engineering, developing data pipelines, to creating features, and building tools to automate operations. We build our services over Cash App's ever-evolving infrastructure, and as a senior engineer on the team, you will embrace these changes and scale our tech stack to promote future evolvability. This is an exciting opportunity to make a direct, tangible impact on our product and work on projects that are critical to the business's success.
You Will

  • Be responsible for designing, building and managing the distributed services, pipelines and tools for Personalization Machine Learning including recommendation system, ranking systems and tooling for marketing at Cash App & Afterpay
  • Lead impactful, multi-person projects that cross Engineering team boundaries
  • Demonstrate high code quality, good test coverage and other engineering best practices
  • Collaborate with product, analysts, and modelers on planning and implementing frictionless user experiences
  • Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications
  • Have autonomy to research and achieve outcomes with support when you need it
  • Creatively solve challenging technical problems at scale
  • Contribute to the growth of our development capabilities through mentoring and supporting fellow engineers


You Have

  • 5+ years of experience in building highly scalable systems and demonstrated technical initiative and leadership on previous projects.
  • Experience helping your teammates grow through mentorship and providing constructive feedback
  • Experience or knowledge in ML is helpful but not a prerequisite: if you are a solid software engineer, then we are happy to train you up on ML-specific parts of the role
  • Be able to work collaboratively with technical and non-technical people across different teams
  • Curiosity and a passion for Cash App's mission of economic empowerment


Technologies We Use and Teach

    • Kotlin, Python and React
    • HTTP, JSON, gRPC, and Protocol Buffers
    • ElasticSearch
    • AWS, GCP and Kubernetes
    • DataDog
    • Big data processing technologies like Spark


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 also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
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 .
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.
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.
Zone A:
$198,000 - $297,000 USD
Zone B:
$188,100 - $282,100 USD
Zone C:
$178,200 - $267,400 USD
Zone D:
$168,300 - $252,500 USD
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.

The Company
Atlanta, GA
3,500 Employees
Hybrid Workplace
Year Founded: 2013

What We Do

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 app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, instantly available and universally accessible.

Why Work With Us

At Cash App, our mission is simple yet ambitious: to redefine the world’s relationship with money by making it more relatable, instantly available, and universally accessible. To make this real, we’re building a team of dreamers, innovators, and risk-takers to break the mold of what a financial brand can be. If that’s you, then come join us.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

Cash App Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Cash App has always been a distributed team working across timezones and continents. Today, we're remote-first by default, but encourage you to choose how you want to work: from home, one of our offices, or a mix of both.

Typical time on-site: Flexible
Kitchener, Ontario
Toronto, Ontario

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account