Senior Machine Learning Engineer (Modelling), Financial Crimes Technology

Company Description

Block is a company built from various blocks, all unified by the same purpose of economic empowerment. Our fundamental teams consist of People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — who provide support and guidance at the corporate level. They work across business groups and globally, spanning time zones and various disciplines to develop inclusive People policies, forecast finances, offer legal counsel, protect systems, foster new initiatives, and more. Every challenge brings potential, and we need diverse perspectives to perceive them all. Bring yours to Block.

Job Description

The Square Financial Crimes Machine Learning team is accountable for detecting, preventing, and reporting unlawful activity across all markets where Square operates. We work in sync with our global partners in business, engineering, counsel, and product to ensure a safe user experience while minimizing or eliminating harmful activity on our platform.

We use Machine Learning as a crucial part of our toolkit to fulfil our mission. We deploy scalable solutions to monitor billions of dollars in transactions. We uncover and terminate money laundering, terrorist financing, and other illegal activities before they affect our users. Additionally, we improve workflow and case tools, adding functions that enhance investigator productivity and automate high-volume monitoring. We are looking for senior machine learning engineers who are interested in solving critical business problems using any and all necessary tools.

Your responsibilities will include:

• Building both batch and real-time machine learning solutions for appraisal of financial crimes risk at large scale across all global markets where Square operates
• Cooperating closely with stakeholders, business partners, and product engineering teams to ensure efficient use of data for establishing proficient solutions within our regulatory program
• Generating well-detailed documentation of our program that can withstand regulatory scrutiny
• Identifying new opportunities and future needs proactive for our machine learning teams
• Leading by example by applying machine learning and engineering best practices
• Staying updated on machine learning developments in the field, fostering an environment of continuous learning, and utilizing new learnings when applicable
• Having a significant impact on shaping the team culture and direction

Qualifications

You Have:

• Over 5 years of software engineering or machine learning experience
• A degree (preferably postgraduate level) in Computer Science, Engineering, Statistics, Physics, Applied Math, or a related technical field
• Ability to maintain important production software and develop new production software from scratch
• Prior experience working with product, engineering, and business to prioritize, scope, design, and deploy machine learning tooling and infrastructure at scale
• Curiosity and desire to grow and contribute to all facets of our growing team
• Outstanding written and oral communication skills and are comfortable working with a cross-functional, globally distributed team

Additional Information

Block uses a market-based approach to pay varies according to location. U.S. destinations are grouped into four zones based on labor cost index for that geographical area. Your initial salary will be based on job-related skills, experience, qualifications, work location, and market conditions. Future revisions may be made in these ranges.

Zone A: USD $167,300 - USD $204,500
Zone B: USD $158,900 - USD $194,300
Zone C: USD $150,600 - USD $184,000
Zone D: USD $142,200 - USD $173,800

To find the zone designation of a location, please refer to this . If your preferred location is not listed, please consult with a recruiter for additional information.

Full-time employee benefits include:

• Healthcare coverage (Medical, Vision, and Dental insurance)
• Health Savings Account and Flexible Spending Account
• Retirement Plans with a company match
• Employee Stock Purchase Program
• Wellness programs, including mental health services, 1:1 financial planners, and a monthly wellness allowance
• Paid parental and caregiving leave
• Time off (including 12 paid holidays)
• Paid sick leave for non-exempt employees (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible)) and exempt employees are covered by our Flexible Time Off policy
• Learning and development resources
• Paid Life, AD&D insurance, and disability benefits
• Additional perks such as reimbursements for WFH, free access to caregiving, legal, and discounted resources

All employees and job applicants are evaluated fairly and 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. We also provide reasonable accommodations for disabled applicants throughout the recruitment process.

We at Block, Inc. (NYSE: SQ) are committed to building a more inclusive economy where our customers have equal access to opportunity. As a global technology company with a focus on financial services, we build tools to help Square, Cash App, Spiral, TIDAL, and TBD.