Senior Machine Learning Engineer, Fraud Risk Modeling

GEICO is seeking a Senior Machine Learning Engineer, Fraud Risk Modeling in Palo Alto, CA (onsite). In this role, you will lead the design, implementation, and deployment of production-grade machine learning models, with opportunities to build scalable ML infrastructure and own end-to-end model lifecycle management. GEICO provides competitive pay and a supportive environment focused on growth, mentorship, and certification assistance.

What you’ll do

• Lead model design and implementation, partnering with Product, Business Units, and Engineering teams on fraud risk modeling solutions.
• Build scalable ML infrastructure for model training, automated hyperparameter tuning, and deployment pipelines that stay reliable and performant at scale.
• Develop production-grade ML services and APIs, writing modular and reusable code that turns models into deployable components for future projects.
• Optimize model performance by debugging and troubleshooting issues, tracking key metrics, and improving reliability, speed, and efficiency in production.
• Own the full ML lifecycle, including monitoring, retraining, and version management to keep models aligned with business needs over time.
• Provide leadership and mentorship to junior machine learning engineers, promoting best practices across software engineering, model development, and deployment.
• Collaborate across teams such as data engineering, software development, and product management to integrate models and support smooth production operations.
• Stay current with industry trends by exploring new techniques and system engineering tools to advance team practices in machine learning and systems architecture.

What you bring

• B.Sc. in Computer Science, Machine Learning, Engineering, or a related technical field.
• 6+ years of hands-on experience applying machine learning techniques, including deep learning, reinforcement learning, and NLP in production environments.
• 6+ years using open-source and/or cloud-agnostic components such as Snowflake, Kafka, PostgreSQL, MongoDB, Cassandra, Spark, Ray, Airflow, and Temporal.
• 6+ years professional software development experience with at least two general-purpose languages, such as Java, C++, Python, or C#.
• 6+ years with machine learning frameworks including TensorFlow, PyTorch, and Scikit-learn.
• At least 4 years with cloud platforms (AWS, Azure, GCP) and containerization (Docker), plus orchestration with Kubernetes.
• Proven experience deploying ML models in production with scalability, reliability, and high availability in mind.
• Strong engineering fundamentals: object-oriented design, design patterns, clean maintainable code, Git, and familiarity with Agile.
• Distributed systems expertise for scaling ML models in production, including distributed data processing and microservices architectures.
• Experience with MLOps such as CI/CD, automated testing, and deployment pipelines for ML models.
• System architecture and performance optimization, including designing fault-tolerant systems for large-scale data and high-volume requests.
• Experience deploying on AWS/Azure/GCP and familiarity with AWS SageMaker, GCP AI Platform, and Azure Machine Learning.
• Monitoring and logging experience to track performance and ensure efficient resource utilization.

Helpful background (preferred)

• Experience designing and building high-performance distributed systems for large-scale data ingestion and processing for ML workloads.
• Experience with real-time inference pipelines and low-latency model serving.
• Familiarity with serverless or managed services for ML model deployment.
• Advanced degree (M.Sc., Ph.D.) in a related field.
• Experience with GPU/TPU optimization for accelerated training and inference.

Tools you may work with

Java, C++, Python, C#, TensorFlow, PyTorch, Scikit-learn, AWS, Azure, GCP, Docker, Kubernetes, snowflake, Kafka, PostgreSQL, MongoDB, Cassandra, Spark, Ray, Airflow, Temporal, Git, AWS SageMaker, GCP AI Platform, Azure Machine Learning

Compensation and GEICO pledge

Annual salary: $115,000.00 - $230,000.00

• 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.

Benefits

• Competitive pay, benefits, and flexibility to support your well-being and future.
• Personalized development programs, mentorship, and certification assistance.