Block · 11 hours ago
Staff/Principal Machine Learning Engineer (Modeling), Afterpay Risk
United States
Full-time
Remote
Lead/Staff
$277K/yr - $415K/yr
10+ years expBlock is a company focused on empowering customers and retailers through innovative financial solutions. They are seeking a Staff/Principal Machine Learning Engineer to architect and build AI/ML systems for fraud prevention and abuse mitigation, collaborating with cross-functional teams to enhance decision-making processes and improve the lending ecosystem.
Financial Services
Responsibilities
Architect and build AI/ML systems that power fraud prevention and abuse mitigation across the Afterpay lending lifecycle
Shape lending decision frameworks with advanced analytics, machine learning, and automation to improve precision, adaptability, and speed
Analyze large and complex datasets to surface insights that influence underwriting strategy, strengthen ecosystem safeguards, and inform product direction
Lead signal discovery and deep experimentation to identify evolving risk patterns and inform the design of next-generation decision systems
Build agentic features for operations teams that surface emerging fraud vectors, adapt to changing patterns, and enable faster decision-making at scale
Build agentic engineering workflows that accelerate development, testing, and documentation
Collaborate cross-functionally with Product, Engineering, and Operations to design systems and features that enhance trust and portfolio health
Share modeling context and approaches across teams, helping align how fraud risk is measured, interpreted, and discussed
Mentor and elevate fellow scientists and modelers, contributing to modeling standards, best practices, and technical excellence across the team
Exercise a high level of autonomy and ownership, driving solutions from problem framing and design through deployment and iteration
Qualification
Required
A Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science). Advanced degrees preferred
10+ years of experience in fraud, risk, credit underwriting, or another high-stakes decisioning domain
Deep expertise in AI and machine learning methods, statistical modeling, and advanced analytical techniques
Strong experimentation skills: you know how to design holdouts, measure lift, and evaluate models beyond aggregate metrics
Strong analytical rigor with a deep testing mindset, including experience designing automated validation frameworks for models and decision logic
Proficiency with AI-native development workflows. You use LLMs, agentic coding tools, and AI-assisted automation as a regular part of how you build and ship
Experience explaining modeling concepts, results, and limitations to senior stakeholders and cross-functional partners
Experience working across disciplines in environments with meaningful constraints
Benefits
Remote work
Medical insurance
Flexible time off
Retirement savings plans
Modern family planning
Company
Block
Block is one company built from many blocks, all united by the same purpose of economic empowerment.
10001+ employees
H1B Sponsorship
Block has a track record of offering H1B sponsorships. Please note that this does not
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Funding
Current Stage
Late StageLeadership Team
Amrita Ahuja
Chief Financial Officer
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CFO, Square
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