Own ML platform architecture: data/feature pipelines, experiment tracking, model registries, serving layers, offline/online evaluation, and observability.
Define standards for reliability, performance, cost efficiency, security, governance, and model risk management across ML services.
Lead design and implementation of models across classical ML and deep learning.
Translate business goals into measurable ML objectives and experiment plans; ensure robust offline metrics and real-world impact.

Bachelor’s degree or above in Computer Science, Engineering, Statistics, or related field.
10+ years of professional software development experience using at least two general-purpose languages (e.g., Java, C++, Python, C#).
10+ years architecting, designing, and building multi-component ML platforms leveraging open-source/cloud-agnostic components.
6+ years managing end-to-end SDLC for ML systems.
6+ years working with cloud providers (Azure and/or AWS) in production ML contexts.

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.

Senior Staff Machine Learning Engineer

Key skills