AI maturity
building
C-Level AI Executive
Director of ML Engineering
GEICO · Insurance / Financial Services · 📍 Palo Alto, CA
GEICO is building a dedicated Document Intelligence ML engineering function in Silicon Valley to modernize insurance document processing at massive scale through AI.
Reports to
CTO
Company stage
enterprise
Source
linkedin
Key responsibilities
- Lead and scale ML engineering teams focused on document understanding, extraction, and classification
- Drive architecture and delivery of document intelligence systems across insurance workflows
- Partner with product, data science, and platform teams to productionize ML models
- Define technical roadmap and engineering standards for document AI capabilities
- Hire, mentor, and develop senior ML engineers and technical leads
Requirements
- Deep expertise in machine learning engineering, particularly NLP, document understanding, or vision-language models
- Proven experience leading ML engineering teams in a production environment
- Track record of shipping ML systems at scale
Signals
- ⚠ No salary range disclosed
- ⚠ No job description body provided — very limited signal available
- ⚠ GEICO is a subsidiary of Berkshire Hathaway and historically offers no equity, limiting upside vs. pure tech firms
- ⚠ No previous posting history to assess role stability or churn
- ✓ Domain-specific Director role (Document Intelligence) signals strategic investment and dedicated budget
- ✓ Palo Alto location indicates serious commitment to recruiting top-tier AI/ML talent
- ✓ Insurance document processing is a high-value, high-volume AI use case with clear ROI
- ✓ GEICO's scale (millions of policies) provides enormous training data and real-world impact