Senior Machine Learning Engineer, Financial Crimes

Key Skills

Design, Effective communication skills, Financial Risk, Machine learning techniques

Job Description

The Square Financial Crimes Machine Learning team is responsible for detecting, preventing, and reporting illegal activity across all markets in which Square operates. We work globally with partners in business, engineering, counsel and product to ensure we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform.

We leverage Machine Learning as an integral part of our toolkit to fulfill our mission. We employ scalable solutions in order to monitor billions of dollars in transactions. We uncover and put an end to money laundering, terrorist financing, and other illegal activities before they impact our users. Additionally, we improve workflow and case tools, adding features that empower investigator productivity and automate the high volume of monitoring. We are looking for senior MLEs interested in building scalable frameworks for deploying machine learning solutions in production environments.

You will:

• Design and build services and tooling that support our ML modelers and analysts
• Be the MLOps lead and facilitate modelers on the team by unblocking access to the infrastructure/tools necessary for development & production work
• Develop prototypes and partner with ML modelers to encourage adoption of new tools and technologies
• Proactively identify new opportunities and future needs of our ML teams
• Lead by example by applying ML and engineering best practices
• Stay current on ML infrastructure changes at Block and advocate/educate the team about new developments by sharing resources, demos and PoCs
• Have a significant impact on influencing team culture and direction

Qualifications

• 5+ years of software engineering or machine learning experience
• A degree (preferable graduate level) in Computer Science, Engineering, Statistics, Physics, Applied Math or a related technical field
• An ability to maintain critical production software and build new production software from scratch
• Prior experience working with product, engineering, and business to prioritize, scope, design, and deploy ML tooling and infrastructure at scale
• Natural curiosity and desire to grow and help shape all aspects of our small and growing team

• Excellent written and oral communication skills and are comfortable working with a cross-functional, globally distributed team

Additional Information

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 
• Additional Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources 

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.

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, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.