Machine Learning Engineer, Link

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

• 6+ years of industry experience building and shipping machine learning models in production.
• Strong programming skills in Python and experience with common data and machine learning tools, such as SQL, Spark, and XGBoost.
• Strong knowledge of production machine learning systems, including data pipelines, feature development, model evaluation, deployment, monitoring, and iteration.
• Experience working with large and complex datasets and applying data analysis, statistics, and experimentation fundamentals.
• Demonstrated ability to take an open-ended business problem, determine where machine learning can help, and own the solution through production.
• Strong judgment in selecting practical modeling approaches and evaluating tradeoffs among model performance, system complexity, latency, and business impact.
• Strong collaboration skills and the ability to work across teams and contribute to peers' success.
• Experience applying machine learning to fraud detection, risk modeling, payment authorization, identity, account security, or another adversarial domain.
• Experience building real-time, low-latency machine learning or risk decisioning systems at scale.
• Experience integrating models into production services and designing reliable systems around model outputs.
• Experience with payments, fintech, digital wallets, or money movement.
• Strong software engineering skills and experience designing solutions across the machine learning and product stack.