Block · 1 day ago
Staff Machine Learning Engineer (Modeling), Afterpay Risk
Bay Area, CA, United States of America
Full-time
Onsite
Lead/Staff
$277K/yr - $415K/yr
10+ years expBlock is a technology company that aims to increase access to the global economy. They are seeking a Staff Machine Learning Engineer to architect and build ML systems for fraud prevention and abuse mitigation across the lending lifecycle, collaborating with various teams to enhance decision-making frameworks and portfolio health.
Financial Services
Responsibilities
Shape next-generation lending decision frameworks with advanced analytics, machine learning, and agentic 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 experimentations to identify evolving risk patterns and inform the design of next-generation lending decision systems
Collaborate with Product, Engineering and Operations teams to design systems and features that enhance trust and portfolio health
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
Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science, Machine Learning); Master's or PhD preferred
10+ years of industry experience in risk, fraud, credit underwriting, or another high-stakes decisioning domain
Deep expertise in machine learning methods, statistical modeling, and advanced analytical techniques
Strong analytical rigor with a deep testing mindset, including experience designing automated validation frameworks for models and decision logic
Strong communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders
Hands-on experience with agentic workflows— LLM-based agents or automation components that enhance modeling velocity and decision reliability
Preferred
Master's or PhD in a quantitative field
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
guarantee sponsorship for this specific role. Below presents additional info for your
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Funding
Current Stage
Late StageLeadership Team
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