Staff Machine Learning Engineer

GEICO

Staff Machine Learning Engineer at GEICO designing and deploying scalable AI solutions. Collaborating with cross-functional teams to deliver impactful AI workflows and applications.

Posted 6/6/2026full-timePalo Alto • California, Washington • 🇺🇸 United StatesLead💰 $130,000 - $260,000 per yearWebsite

Tech Stack

Tools & technologies

CloudJavaKubernetesPythonSDLC

About the role

Key responsibilities & impact

Own end-to-end design, development, and maintenance of high-performance AI solutions that use agentic workflows to deliver concrete business value for internal stakeholders and customer-facing applications.
Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, and designers to gather requirements, define project scope and prioritize feature development.
Establish pragmatic technical visions and roadmaps that balance business outcomes, product release timelines, and engineering excellence.
Integrate and build solutions using GEICO’s AI platform architecture.
Partner with platform teams to communicate requirements, understand current capabilities and gaps, and contribute to platform feature roadmaps and development.
Ideate, define, and build first-of-its-kind solutions within GEICO, with a deep understanding of business and technical processes, applications, and architecture to guide development.
Drive the selection, evaluation, and implementation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, maintainability, etc.
Take ownership in project planning and stakeholder management, driving technical alignment, ensuring efficient resource allocation, and timely delivery of solutions.
Mentor and guide junior engineers via code reviews and design sessions, establish and enforce best practices, and foster a collaborative and high-performance team culture.

Requirements

What you’ll need

8+ years of experience designing and building scalable production AI/ML applications and systems in cloud environments
5+ years owning end-to-end development, monitoring, maintenance, and continuous improvement of scalable, robust AI/ML applications.
5+ years of experience with training, finetuning, real-time/batch inferencing, and evaluation systems for AI/ML models and LLMs used in production systems
5+ years of experience managing the end-to-end software development life cycle (e.g. CI/CD pipelines, Kubernetes-based deployments, testing, monitoring & alerting, production support etc.) for Generative AI applications, backend systems, and APIs
Experience using frameworks to build LLM-based agentic workflows such LangSmith/LangGraph or similar
Experience using typical agentic communication standards such as A2A, MCP, and similar to design, architect, and build working multi-agent applications
Proficient in Python, Java or similar general-purpose programming languages.
Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field

Benefits

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI solutionsML applicationscloud environmentsCI/CD pipelinesKubernetesPythonJavaLangSmithLangGraphmulti-agent applications

Soft Skills

collaborationproject planningstakeholder managementmentoringtechnical alignmentresource allocationcommunicationteam culturebest practicesproblem-solving