Senior Machine Learning Modeler, Block
Financial Crimes, Cash App
$139-245.4k
Salary is dependent on location. + Equity subject to the terms of the applicable plans and policies
Financial services ecosystem
Job no longer available
Financial services ecosystem
1001+ employees
Job no longer available
$139-245.4k
Salary is dependent on location. + Equity subject to the terms of the applicable plans and policies
1001+ employees
Company mission
To create better tools to help everyone access the economy.
Role
Who you are
- 4+ years of Machine Learning modeling experience. Full stack ML experience
- A Bachelor's degree in computer science, data science, operations research, applied math, stats, physics, or a related technical field
- End-to-end experience building and deploying ML to production systems (batch and real-time) that are performant at scale
- Experience with advanced ML techniques like large language models, embeddings, sequence modeling, and graph convolutional networks
- Experience of independently driving programs with multiple cross functional stakeholders (eg. Engineering, Product, and Country leads) that have business impact
- Have a curious, growth-oriented mindset and the ability to think in first principles to identify creative solutions that demonstrate value
What the job involves
- The Financial Crimes Technology team at Cash App detects and reports illegal and suspicious activity on Cash App
- Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review
- Additionally, 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
- This is an IC role, but the senior level has leadership responsibilities including leading strategic roadmaps and priorities to completion by collaborating with relevant cross functional stakeholders
- Facilitate CashApp's ML based Customer Risk Rating program to detect onboarding and ongoing risk and satisfying Know Your Customer (KYC) and Know Your Business (KYB) requirements
- Build classification models to detect illegal use of the app across the peer-to-peer, banking, card, equities and bitcoin products
- Leverage diverse data sets including payment transactions, connected users and asset graphs, unstructured text data and user profile information to build ML and generative AI models
- Experiment and deploy AI copilot and self-driving solutions at scale to improve agent productivity and/or eliminate manual decision loops altogether
- Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance
- Use Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, and cloud services (both GCP & AWS)
Our take
Block is a financial services technology company comprising of Square, Cash App, Spiral, TIDAL, and TBD. Its biggest brand, Square, offers hardware and software for small to medium-sized businesses enabling them to manage the entire payment lifecycle. It functions similarly to Shopify and Stripe, but has paired online payment processing with physical devices such as registers, payment terminals, and mobile card readers.
The business was originally founded as Square in 2009 by Jack Dorsey of Twitter fame. Already well-established with SMEs all over the globe, Square has significantly benefited from the increased demand for mobile payment systems. Its order management feature remains a go-to tool for small businesses that otherwise didn't have the proper infrastructure in place when demand for home delivery surged.
Square rebranded as Block in December 2021, with the Square brand name remaining in place for their seller business. The company has since come under fire for its security practices, facing lawsuits in relation to a major breach of CashApp user data, and in 2024 announced plans to reduce its workforce in order to cut costs. Despite these setbacks, there is every chance the business will move past this, though it may take some time to rebuild trust in its product.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
19% employee growth in 12 months
Company
Company 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
Company HQ
SoMa, San Francisco, CA
Leadership
Jack Dorsey
(CEO)Having studied at and dropped out of New York University, Jack founded Twitter in March 2006, where he has served as CEO since. He co-founded Square with Jim in February 2009, and has remained its CEO ever since.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job