Staff Applied AI and Machine Learning Engineer, Payments & Risk at Gusto

You're a technical leader with at least 8 years of experience in data science and machine learning, specifically within risk or payments, and possess a strong understanding of AI and Large Language Models (LLMs). **What makes it worth a look...** This full-time, remote Staff Applied AI and Machine Learning Engineer role at Gusto offers $225,000 - $285,000 per year. You'll drive machine learning and AI initiatives within their payments and risk domains, contributing to a secure and reliable platform. **You might be a good fit if you...** * Have 8+ years of experience with statistical analysis and machine learning, familiar with LLMs or have an MS/PhD in a quantitative field with 5+ years of business experience. * Demonstrate proven experience in credit risk or fraud risk modeling using techniques like logistic regression, random forest, Xgboost, or neural networks. * Are proficient in applying statistical and modeling techniques using Python, R, or another statistical language, including predictive modeling and anomaly detection. * Have strong programming skills across the data science development lifecycle, from analysis to deployment.