Senior Machine Learning Engineer

GEICO

Senior ML Engineer at GEICO developing high-performance AI solutions and collaborating with cross-functional teams. Focused on scalable production AIML applications and fostering a high-performance team culture.

Posted 5/3/2026full-timePalo Alto • California, Washington • 🇺🇸 United StatesSenior💰 $115,000 - $230,000 per yearWebsite

Tech Stack

Tools & technologies

CloudJavaKubernetesPythonSDLC

About the role

Key responsibilities & impact

Contribute to the design, development and maintenance of high-performance AI solutions that utilize agentic workflows to deliver concrete business value for internal stakeholders.
Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, help define project scope and prioritize feature backlogs.
Execute pragmatic technical visions & roadmaps that balance business outcomes, product release timelines and engineering excellence.
Integrate and build solutions using GEICO AI platform architecture.
Partner with platform teams to communicate requirements, understand current capabilities and gaps, and contribute to platform development.
Work on first-of-its-kind solutions within GEICO, with a deep understanding of business and technical processes, applications, and architecture to guide development.
Participate in project planning and stakeholder management, ensuring the efficient allocation of resources and timely delivery of solutions.
Mentor and guide junior engineers via code reviews and design sessions, fostering a collaborative and high-performance team culture.

Requirements

What you’ll need

5 years of experience designing and building scalable production AIML applications and systems in cloud environments.
Proficient in Python, Java and similar general-purpose programming languages.
3 years managing end-to-end software development life cycle (e.g. CICD pipelines, Kubernetes-based deployments, testing, monitoring & alerting, production support etc.) for backend systems and APIs.
2 years in training, finetuning, real-time/batch inferencing and evaluation systems for AIML models and LLMs.
2 years owning end-to-end development, monitoring, maintenance, and continuous improvement of scalable, robust AIML applications.
Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field.

Benefits

Comp & perks

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.
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.

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Hard Skills & Tools

PythonJavaAIML applicationscloud environmentsCICD pipelinesKubernetesmonitoringalertingreal-time inferencingbatch inferencing

Soft Skills

collaborationstakeholder managementmentoringteam cultureproject planningresource allocationcommunicationtechnical visionproblem-solvingleadership