GEICO · 1 day ago
Senior Staff ML Engineer, Fraud Risk Modeling
Chevy Chase, MD
Full-time
Hybrid
Senior Level, Lead/Staff
$150K/yr - $300K/yr
10+ years expGEICO is on a journey to transform the insurance industry with Artificial Intelligence. The Fraud Risk Modeling team is at the center of this evolution, seeking a Senior Staff Machine Learning Engineer to architect a centralized multi-modal fraud defense ecosystem that protects millions of customers.
Auto InsuranceFinancial ServicesGovernmentInsuranceInternetMobile
Responsibilities
Architect and implement scalable, high-performance machine learning platforms and systems capable of processing large data volumes and supporting real-time decision making and workflows
Design end-to-end AIML pipelines - from data ingestion and feature engineering to model training, deployment, and continuous monitoring
Evaluate and integrate cutting-edge AIML frameworks and libraries to maintain a state-of-the-art technology stack
Act as the tech lead across multiple ML feature teams, setting technical direction and ensuring consistency in design principles and best practices
Provide hands-on mentorship and guidance during design reviews, code assessments, and performance tuning
Lead by example in tackling complex technical challenges and driving system-wide architectural improvements
Experiment with and prototype advanced machine learning algorithms and approaches to enhance system performance, model accuracy, and interpretability
Stay abreast of the latest research and industry trends, translating these insights into actionable, production-level solutions
Contribute to internal technical documentation and share knowledge across teams
Oversee the end-to-end lifecycle of machine learning models, ensuring robust testing, deployment, and ongoing monitoring
Develop and implement systems for model monitoring, alerting, and automated retraining to maintain peak performance in production
Ensure adherence to industry standards, security protocols, and regulatory compliance throughout the ML lifecycle
Work closely with data scientists, software engineers, operations, and product teams to seamlessly integrate ML systems into production environments
Translate complex technical concepts into actionable insights for both technical and non-technical stakeholders
Foster a collaborative environment that encourages innovation and the sharing of best practices across teams
Qualification
Required
Bachelor's degree in Machine Learning, Computer Science, Statistics, Mathematics, or a related field; an advanced degree (master's or Ph.D.) is highly desirable
10+ years of hands-on experience in designing, implementing, and optimizing AIML systems in production environments
Extensive expertise in architecting large-scale data pipelines, real-time AIML serving architectures, and managing the end-to-end AIML lifecycle
Proven ability to tackle complex technical challenges, innovate through hands-on experimentation, and set technical standards across teams
Deep proficiency in programming languages such as Python, Java, or similar, with a strong emphasis on coding excellence
Experience with backend distributed systems & tools (e.g., Airflow, DBT, Kubernetes) and big-data technologies (e.g., Spark, MongoDB, Snowflake, Neo4j, Redis), familiarity with modern data feature stores
Significant experience working with cloud platforms (AWS, Azure, etc.) and their machine learning services (e.g., SageMaker, Azure ML, etc.)
Familiarity with frameworks for model interpretability, fairness, and regulatory compliance, ensuring ethical and transparent ML systems
Proficiency in machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, etc
Preferred
Domain expertise: prior experience in Fraud Detection, Risk Modeling, Trust and Safety, or Digital Identity
Advanced ML techniques: experience deploying LLM in production (RAG, fine-tuning) or building Graph Neural Networks for network analysis
Governance: experience with model governance, explainability, and bias mitigation in a regulated industry like insurance
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
2025-12-15
Business Insider
2025-12-11
Company data provided by crunchbase