Machine Learning Engineer I (MLE I), Fraud Risk Modeling

Machine Learning Development & Implementation

• Implement, test, and maintain machine learning models used in fraud detection and risk assessment.
• Support feature engineering, data validation, and model experimentation under guidance from senior engineers.
• Assist in deploying models into production using established MLOps pipelines and tooling.

Data & Pipeline Contributions

• Work with structured and semi-structured data to build reliable training and inference datasets.
• Contribute to batch and near-real-time ML pipelines for fraud scoring and decisioning.
• Help monitor data quality, model performance, and system reliability.

Engineering Best Practices

• Write clean, well-tested, maintainable code in Python (and/or Java).
• Participate in code reviews, design discussions, and post-incident reviews.
• Follow security, compliance, and governance standards required in a regulated environment.

Collaboration & Learning

• Collaborate closely with data scientists, product managers, and senior ML engineers.
• Learn industry best practices for model lifecycle management, monitoring, and experimentation.
• Actively seek feedback and continuously improve technical and domain knowledge.

• Bachelor’s degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related field.
• 1-3 years of hands-on experience building or supporting ML models or data pipelines (internships count).
• Proficiency in Python and familiarity with ML libraries (e.g., scikit-learn, PyTorch, TensorFlow).
• Basic understanding of ML model training, evaluation, and deployment concepts.
• Strong problem-solving skills and eagerness to learn production ML systems.

Preferred Qualifications

• Exposure to fraud detection, risk modeling, or anomaly detection problems.
• Familiarity with SQL and large-scale data platforms (e.g., Spark, Snowflake).
• Experience with cloud platforms (AWS or Azure) or containerized environments.
• Interest in responsible AI, model monitoring, and explainability.

$90,000.00 - $185,000.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.

At this time, GEICO will not sponsor a new applicant for employment authorization for this position.

The GEICO Pledge:

Great Company: Protecting customers through life’s twists and turns with innovation and integrity.

Great Careers: Personalized development programs, mentorship, and certification assistance.

Great Culture: Inclusive and collaborative culture rooted in shared success.

Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.

Why Join GEICO?

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers’ expectations while making a real impact on local communities nationwide.

Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That’s why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.