Pay Range
Annually:
$139,000 - $245,400
No equity
Industry
Engineering
Finance
Machine Learning
Description
The Financial Crimes Technology team at Cash App detects and reports illegal and suspicious activity on Cash App. We work globally with partners in Product, Counsel and Engineering to ensure we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform.
We use Machine Learning and Generative AI as an important part of our toolkit. As Cash App scales, we monitor hundreds of billions of dollars in transactions across traditional payment and blockchain networks. Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review. Our systems block payments in real-time where appropriate. We use generative AI technologies to improve agent workflow and case review tools, by adding features that accelerate agent productivity and allow them to make more informed and accurate decisions. We are looking for a senior MLE that can integrate vertically into the ML sub-team and focus on building/enhancing tools, libraries, frameworks, developer environments etc. for ML modeling workflows.
This is an IC role reporting into the Data Science and ML Modeling Manager that has leadership responsibilities including driving strategic roadmaps and priorities to completion by collaborating with cross functional stakeholders.
You will:
Design, build and enhance batch and real-time inference services and tooling that support our ML use cases
Facilitate modelers on the team by unblocking access to the infrastructure/tools necessary for development including MLOps
Develop prototypes and partner with ML modelers to encourage adoption of new tools and technologies and plan for future needs of our ML teams
Join a new and growing team and have a significant impact on influencing team culture.
Qualifications
You have:
4+ years of combined Machine Learning and Engineering industry experience (full stack ML experience)
A Bachelor's degree in computer science, data science, operations research, applied math, stats, physics, or related technical field
Familiarity with Linux/OS X command line, version control software (git), and software development principles with a machine learning software development life-cycle orientation.
Experience working with product, business, and engineering to prioritize, scope, design, and deploy ML models
Familiarity with Python computing stack, MySQL, Snowflake, Airflow, Java/Go
Hosted models for inference on public clouds like GCP, AWS and/or built micro-services to facilitate event based triggering, feature generation, model inference and downstream actioning.
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 $163,600 - USD $245,400
Zone B: USD $155,400 - USD $233,200
Zone C: USD $147,300 - USD $220,900
Zone D: USD $139,000 - USD $208,600
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 
