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GEICO is seeking a Senior Staff ML Engineer to serve as the technical leader for an AI/Machine learning area, driving the design, development, and optimization of advanced AIML systems and platforms, while setting the technical direction for multiple AIML sub-teams.

Requirements

• 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, Temporal, Kubernetes) and big-data technologies (e.g., Spark, MongoDB, Opensearch, Snowflake, Neo4j, Redis).
• Significant experience working with cloud platforms (AWS, Azure, etc.) and their machine learning services (e.g., SageMaker, Azure ML, AWS Bedrock).
• Proficiency in machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, Langchain, Langraph, etc.

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.

Other

• 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.
• 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.
• GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.
• 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.