GEICO · 21 hours ago
Machine Learning Engineer II, Fraud Risk Modeling
New York City, NY
Full-time
Onsite
Mid Level
$105K/yr - $215K/yr
3+ years expGEICO is a leading insurance company that offers rewarding career opportunities. The Machine Learning Engineer II will be responsible for developing and maintaining production ML models for fraud risk assessment, ensuring the robustness and performance of fraud detection capabilities.
Auto InsuranceFinancial ServicesGovernmentInsuranceInternetMobile
Responsibilities
Design, implement, and maintain production ML models and features for fraud risk assessment
Own model components across the full lifecycle: from data preparation and feature engineering to deployment and monitoring
Improve model accuracy, stability, and interpretability through experimentation and iteration
Build and enhance scalable ML pipelines supporting batch and real-time fraud decisioning
Build monitoring and alerting to detect data drift, model degradation, and system failures
Optimize performance and reliability of ML services under production traffic
Collaborate with Senior and Staff engineers on system design and architecture decisions
Write high-quality, well-tested code and contribute to shared ML libraries and tooling
Provide guidance and code reviews for junior engineers (MLE I)
Translate business and fraud domain requirements into technical ML solutions
Participate in on-call rotations or incident response related to ML services
Ensure ML systems meet security, privacy, and regulatory requirements
Contribute to technical documentation and best-practice sharing across teams
Qualification
Required
Bachelor's degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related field
3+ years of hands-on experience building, deploying, and operating ML systems in production
Strong proficiency in Python (and/or Java) with a focus on production-quality code
Experience with end-to-end ML lifecycle management, including monitoring and retraining
Familiarity with distributed systems, data pipelines, and cloud-based ML infrastructure
Preferred
Experience in Fraud Detection, Risk Modeling, Trust & Safety, or Identity systems
Hands-on experience with big-data technologies (Spark, Snowflake, Redis, Kubernetes)
Familiarity with workflow orchestration tools like Airflow
Exposure to feature stores, real-time ML serving, or graph-based modeling
Familiarity with model explainability, fairness, or governance in regulated environments
Benefits
Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.
Company
GEICO
GEICO, Government Employees Insurance Company, has been providing affordable auto insurance since 1936. It is a sub-organization of Berkshire Hathaway.
10001+ employees
H1B Sponsorship
GEICO has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (128)
2024 (277)
2023 (338)
2022 (212)
2021 (148)
2020 (205)
Funding
Current Stage
Late StageTotal Funding
unknown1996-01-01Acquired
Leadership Team
Todd Combs
Chairman, President, and Chief Executive Officer
Clayton Johnson
Sr. Director of Product Management
Recent News
Beinsure - Insurance, Reinsurance, InsurTech Insights
2026-01-14
Business Wire
2026-01-07
2025-12-15
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