Machine Learning Engineer

Summary

Join Gusto's Data Science team as a technical leader, driving machine learning and AI in the payments and risk domains. You will build a model-driven risk platform, ensuring a trusted environment for the Gusto ecosystem. Collaborate with cross-functional teams (Engineering, Product, Design, Operations, Identity, and Compliance) to develop scalable platforms using ML and AI. Responsibilities include building and deploying machine learning models, conducting research, and presenting results to stakeholders. This role requires extensive experience in statistical analysis, machine learning, and strong programming skills. Gusto offers competitive compensation and benefits, including health insurance, 401(k), and flexible work arrangements.

Requirements

• 8+ years experience conducting statistical analyses on large datasets and deep domain knowledge in machine learning
• Experience applying a variety of statistical and modeling techniques using Python, R or another statistical modeling language, as indicated by familiarity with many of the following techniques - predictive modeling, anomaly detection, ensemble methods, natural language processing (NLP, optional)
• Strong programming skills - comfortable with all phases of the data science development process, from initial analysis and model development all the way through to deployment
• Excellent communication skills - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion

Responsibilities

• Build and deploy machine learning models to identify, assess and mitigate risks
• Responsible for driving research in the problem space, working with stakeholders to understand model requirements, developing the model from scratch, deploying the model alongside your engineering counterparts, and monitoring and maintaining the model’s performance over time
• Partner with Engineering, Design, and Product counterparts in Payment and Risk to solve complex cross functional problems
• Develop scalable frameworks and libraries that enhance and contribute to the team’s core analysis and modeling capabilities
• Identify new opportunities to leverage data to improve Gusto’s products and help risk management team to understand business requirements and develop tailored solutions
• Present and communicate results to stakeholders across the company

Preferred Qualifications

• PhD or Masters plus equivalent experience in a quantitative field
• Experience in the Fintech industry or risk management domain

Benefits

• Health insurance
• 401(k)s
• Flexible work arrangements