Afterpay · 21 hours ago
Staff Machine Learning Engineer (Modeling), Afterpay Risk
United States
Full-time
Remote
Lead/Staff
$277K/yr - $415K/yr
10+ years expAfterpay is a company focused on empowering customers to access financial freedom through responsible spending. The Staff Machine Learning Engineer will architect and build ML systems for fraud prevention and abuse mitigation, collaborating with various teams to enhance the lending ecosystem.
E-CommerceFinTechPaymentsRetail Technology
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)
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
SQL
Python (NumPy, Pandas, Sklearn, TensorFlow, etc.)
GitHub
GCP/AWS
Preferred
Master's or PhD in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science, Machine Learning)
Benefits
Remote work
Medical insurance
Flexible time off
Retirement savings plans
Modern family planning
Company
Afterpay
Afterpay allows shoppers to receive products immediately and pay in four simple installments over a short period of time. It is a sub-organization of Block.
501-1000 employees
H1B Sponsorship
Afterpay 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
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (17)
2024 (23)
2023 (45)
2022 (52)
2021 (43)
2020 (23)
Funding
Current Stage
Public CompanyTotal Funding
$565.7MKey Investors
Mitsubishi UFJ Financial GroupTencentCoatue
2021-08-01Acquired
2020-08-20Post Ipo Equity
2020-05-03Post Ipo Equity· $248.7M
Leadership Team
Nick Molnar
Co-founder and Co-CEO of Afterpay
L
Laura Nadler
US CFO
Recent News
Payments Dive
2026-01-22
Company data provided by crunchbase