Senior Machine Learning Engineer

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 through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose.
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.
Senior Machine Learning Engineer, AI Research

GEICO is redefining the insurance landscape through cutting‑edge Artificial Intelligence, and the AI Research team is driving this transformation. We are developing innovative, centralized, real‑time AI solutions to solve complex business challenges and deliver advanced capabilities across claims, customer interactions, and operational efficiency.
As a Senior Machine Learning Engineer, you will play a pivotal role as a technical leader, designing, deploying, and managing production‑grade ML systems that directly impact core business functions. This position is ideal for engineers who have experience shipping ML systems and seek greater ownership, technical depth, and significant business influence.
This is a hands‑on opportunity for those passionate about scalable architectures, model robustness, and delivering operational excellence in advanced AI systems.

• Design, implement, and deploy machine learning models and features for diverse AI applications including predictive analytics, automation, and decision support.
• Manage the complete ML lifecycle: data ingestion, feature engineering, training, evaluation, deployment, monitoring, and retraining.
• Continuously advance model performance, reliability, and interpretability in production environments.

• Develop scalable batch and real‑time pipelines to support high‑throughput AI workflows and applications.
• Optimize ML serving systems for speed, reliability, and cost‑effectiveness.
• Collaborate with platform teams to enhance feature stores, model registries, and deployment infrastructure for AI solutions.

• Author high‑quality, well‑tested, and maintainable code in Python (and/or Java