Machine Learning Engineer, Ecommerce Risk Control

What you'll do

• Design, test, and deploy machine-learning solutions for business risks; build prototypes and validate new approaches through experiments.
• Build data-querying infrastructure and identify evolving attacks, weaknesses, and opportunities in risk defenses.
• Define and monitor risk metrics, coordinate numeric goals with stakeholders, and communicate results through documentation and presentations.

What they ask for

• Master’s degree in Computer Science, Mathematics, Machine Learning, or another relevant STEM field (finance may be relevant for financial fraud roles).
• 3+ years of hands-on experience building and delivering machine-learning models for large-scale projects.
• Programming experience in Java, C++, Python, or a related language.
• Experience with predictive, machine-learning, and statistical tools, and communicating results, plans, or risks clearly.

Nice to have

• PhD in CS, Machine Learning, Statistics, Operations Research, or a relevant field; 4+ years of industry experience in predictive modeling and analysis.
• Experience collaborating with product, operations, and engineering teams, or working in e-commerce/online fraud or risk control.

Tools

Java, C++, Python, Scala, R, Ruby, Matlab

AI focus

Build and deploy machine-learning models and algorithms to prevent and mitigate e-commerce risks, including detecting evolving attacks and measuring risk-control outcomes.