Staff Machine Learning Engineer - Risk
Core
Build a model-driven risk platform to identify, assess, and mitigate risks for Gusto's ecosystem, ensuring security and reliability for users' activities and money.
Role type
Staff Machine Learning Engineer (Risk & Identity)
Builds
High-scale, secure ML/AI platforms for identity verification and risk management
Domain
Fintech, Risk Management, Identity Security
Deliverable
production ML models
Required skills
Machine learning, Artificial intelligence, Large Language Models (LLMs), Statistical analysis, Predictive modeling, Anomaly detection, Ensemble methods, Natural language processing (NLP), Python, R, Logistic regression, Random forest, XGboost, Neural networks
Preferred skills
Credit risk modeling, Fraud risk modeling, Fintech industry experience, PhD or Masters in quantitative field
Technologies
Python, R, LLMs, XGboost, Random Forest, Neural Networks
Responsibilities
Build and deploy ML models to identify and mitigate risks; Drive research and develop models from scratch; Partner with Engineering, Design, and Product to solve cross-functional problems; Develop scalable frameworks and libraries integrating LLMs; Identify opportunities to leverage data for product improvement; Present results to stakeholders
