GEICO

1 month ago

Staff Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Senior-level ML role owning end-to-end design and deployment of high-performance AI solutions, leading generative AI initiatives, collaborating with cross-functional teams, mentoring engineers, and guiding platform integrations to drive business value.

Location: Palo Alto, Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•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 to gather requirements, define project scope and prioritize feature development, and establish technical visions and roadmaps.
•Integrate and build solutions using GEICO’s AI platform architecture; partner with platform teams to communicate requirements and contribute to platform roadmaps.
•Ideate, define, and build first-of-its-kind solutions within GEICO with deep understanding of business and technical processes to guide development.
•Mentor and guide junior engineers via code reviews and design sessions, establish best practices, and foster a high-performance team culture.

Pay and Benefits

Salary: USD 130,000 - 260,000 annually

Key Requirements

•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 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
•5+ years of experience managing the end-to-end software development life cycle (CI/CD pipelines, Kubernetes deployments, testing, monitoring, production support) for Generative AI applications, backend systems, and APIs
•Bachelor’s degree or above in Computer Science, Engineering, Statistics or related field

Experience:8+ yearsAI/MLCloudLLMGenerative AI

Education:Bachelor's

Skills:Problem-solvingLeadershipCommunication

Languages:English

Tech Stack:PythonJavaKubernetesCI/CDLangSmithLangGraphAzureAWSLLMRAGConversational AI

Eligibility

Visa:H1B

Work Authorization:Sponsorship available.

Company Brief

GEICO

GEICO is a major US auto insurer offering personal auto policies, roadside assistance, and insurance products through direct-to-consumer channels and agents. Known for competitive rates and national advertising, it operates as a subsidiary of Berkshire Hathaway.

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Chevy Chase, United States

Founded: 1936

Website LinkedIn

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GEICO

1 month ago

Staff Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Location: Palo Alto, Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•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 to gather requirements, define project scope and prioritize feature development, and establish technical visions and roadmaps.
•Integrate and build solutions using GEICO’s AI platform architecture; partner with platform teams to communicate requirements and contribute to platform roadmaps.
•Ideate, define, and build first-of-its-kind solutions within GEICO with deep understanding of business and technical processes to guide development.
•Mentor and guide junior engineers via code reviews and design sessions, establish best practices, and foster a high-performance team culture.

Pay and Benefits

Salary: USD 130,000 - 260,000 annually

Key Requirements

•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 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
•5+ years of experience managing the end-to-end software development life cycle (CI/CD pipelines, Kubernetes deployments, testing, monitoring, production support) for Generative AI applications, backend systems, and APIs
•Bachelor’s degree or above in Computer Science, Engineering, Statistics or related field

Experience:8+ yearsAI/MLCloudLLMGenerative AI

Education:Bachelor's

Skills:Problem-solvingLeadershipCommunication

Languages:English

Tech Stack:PythonJavaKubernetesCI/CDLangSmithLangGraphAzureAWSLLMRAGConversational AI

Eligibility

Visa:H1B

Work Authorization:Sponsorship available.

Company Brief

GEICO

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Chevy Chase, United States

Founded: 1936

Website LinkedIn