Staff Machine Learning Engineer - Risk at Gusto · San Francisco, CA · Joined
G
Staff Machine Learning Engineer - Risk
Gusto · San Francisco, CA · Just now · 0 applicants
NewHybridFull-timeLead
Pay
$227k–$284kListed
Workplace
Hybrid
Job type
Full-time
Level
Lead
Team: Risk · Source: jobright · Posted by joined-scrapper
About the role
Gusto is hiring a Staff Machine Learning Engineer to lead machine learning and AI work in identity and risk. The role builds and maintains a model-driven risk platform, develops scalable modeling capabilities, and partners across teams to safeguard users and their money.
What you’ll do
Lead machine learning and AI work in identity and risk
Build and maintain a model-driven risk platform
Develop scalable modeling capabilities
Partner across teams to safeguard users and their money
What you’ll need
8+ years conducting statistical analyses on large datasets with deep ML/AI domain knowledge
MS/PhD in quantitative field with 5+ years business experience or BS/Bootcamp with 8+ years as data scientist or ML engineer
Proven experience in credit risk or fraud risk modeling using logistic regression, random forest, XGBoost, or neural networks
Proficiency with Python, R, or another statistical modeling language, including predictive modeling, anomaly detection, ensemble methods, and NLP
Familiarity with LLMs and AI-based approaches to enhance traditional models
Strong programming skills across the data science development process and excellent communication with non-technical stakeholders
Original job description
Gusto is hiring a Staff Machine Learning Engineer to lead machine learning and AI work in identity and risk. The role builds and maintains a model-driven risk platform, develops scalable modeling capabilities, and partners across teams to safeguard users and their money.8+ years of experience conducting statistical analyses on large datasets and deep…