GEICO

1 month ago

Director, Machine Learning Engineering

✓ 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

Leader for GEICO's Runtime Intelligence & Personalization, owning vision, strategy, and delivery of AI-powered, context-aware systems. Builds scalable memory, context orchestration, retrieval (RAG) and personalization capabilities with real-time inference, partnering with product, data, and engineering teams to drive measurable business impact and high-scale performance.

Location: Palo Alto, New York, Dallas, Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Director level

Key Responsibilities

•Define and execute the roadmap for runtime intelligence capabilities, including context building, memory systems, and RAG-based architectures.
•Translate business and customer needs into scalable, AI-powered personalization strategies and partner with executive stakeholders to align investments with enterprise priorities.
•Lead development of core runtime capabilities: context orchestration and state management, memory systems, retrieval systems, and personalization frameworks while ensuring high-scale, low-latency performance and production security.
•Establish observability standards across runtime intelligence systems (latency, quality, accuracy, cost) and define KPIs to measure performance and business impact; drive ongoing optimization of performance and costs.
•Oversee end-to-end delivery of runtime intelligence platforms, drive cross-functional execution across engineering, data science, and product teams, and build/lead high-performing teams.

Pay and Benefits

Salary: USD 150,000 - 300,000 annually

Key Requirements

•10–15+ years of experience in engineering, platform, or AI/ML roles, with significant leadership experience.
•Proven track record building and scaling distributed systems, AI platforms, or personalization systems.
•Deep expertise in Retrieval-Augmented Generation (RAG), context and memory architectures, and real-time inference systems.
•Strong business acumen with the ability to translate strategy into execution.
•Demonstrated success leading large, complex, cross-functional initiatives and building/leading teams.

Experience:10-15 yearsAIMLPlatformPersonalizationRuntime intelligence

Skills:LeadershipCommunicationStrategic thinkingInfluencingStakeholder management

Tech Stack:RAGLLMsRetrievalMemory architecturesContext orchestrationReal-time inferenceAI platformsScalabilityObservability

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

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

Director, Machine Learning Engineering

✓ 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, New York, Dallas, Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Director level

Key Responsibilities

•Define and execute the roadmap for runtime intelligence capabilities, including context building, memory systems, and RAG-based architectures.
•Translate business and customer needs into scalable, AI-powered personalization strategies and partner with executive stakeholders to align investments with enterprise priorities.
•Lead development of core runtime capabilities: context orchestration and state management, memory systems, retrieval systems, and personalization frameworks while ensuring high-scale, low-latency performance and production security.
•Establish observability standards across runtime intelligence systems (latency, quality, accuracy, cost) and define KPIs to measure performance and business impact; drive ongoing optimization of performance and costs.
•Oversee end-to-end delivery of runtime intelligence platforms, drive cross-functional execution across engineering, data science, and product teams, and build/lead high-performing teams.

Pay and Benefits

Salary: USD 150,000 - 300,000 annually

Key Requirements

•10–15+ years of experience in engineering, platform, or AI/ML roles, with significant leadership experience.
•Proven track record building and scaling distributed systems, AI platforms, or personalization systems.
•Deep expertise in Retrieval-Augmented Generation (RAG), context and memory architectures, and real-time inference systems.
•Strong business acumen with the ability to translate strategy into execution.
•Demonstrated success leading large, complex, cross-functional initiatives and building/leading teams.

Experience:10-15 yearsAIMLPlatformPersonalizationRuntime intelligence

Skills:LeadershipCommunicationStrategic thinkingInfluencingStakeholder management

Tech Stack:RAGLLMsRetrievalMemory architecturesContext orchestrationReal-time inferenceAI platformsScalabilityObservability

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

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