At GEICO, the business problem is to drive the direction, vision, and architectural standards for enterprise-scale AI/ML initiatives to exceed customers’ expectations and make a real impact for the company.
Requirements
- PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience with an exceptional track record of innovation and impact.
- Minimum of 8 years of professional experience delivering applied AI/ML solutions in production, with a proven record of leading end-to-end model development and cross-functional initiatives with enterprise impact.
- Deep theoretical and practical expertise in statistical learning, machine learning, deep learning, and large language models; ability to reason from first principles and select appropriate methods under real-world constraints.
- Demonstrated experience establishing KPI frameworks, experimentation strategies, and causal analysis to quantify model impact and inform prioritization.
- Proven ability to mentor and lead senior research scientists and engineers; establish and enforce high standards for code quality, testing, documentation, and reproducibility.
- Extensive experience with Python and SQL; deep hands-on expertise with ML frameworks such as PyTorch, TensorFlow, and Scikit-learn.
- Ability to solve complex technical challenges and craft long-term strategic visions that scale across teams and business areas.
Responsibilities
- Drive the Direction and Vision of AI/ML Initiatives: Define and own the technical strategy and long-term roadmap for cross-functional AI/ML programs, ensuring alignment with organizational goals and scalable, robust, and compliant delivery.
- Identify High-Impact Opportunities: Surface and shape high-value AI use cases through deep engagement with product, engineering, data, and business leaders; translate ambiguous needs into actionable ML problem statements and investment cases.
- Architecture and Technical Leadership: Architect end-to-end AI/ML systems spanning data acquisition, feature engineering, model development, evaluation, deployment, and monitoring across online and batch environments.
- Development and Productionization: Lead the full lifecycle of model development from concept to production, including rapid prototyping, A/B testing, causal inference, and continuous improvement with clear delivery plans and milestones.
- ROI Measurement and Experimentation: Establish rigorous KPI frameworks, experimentation strategies, and causal analysis to quantify business impact, prioritize investments, and guide decision-making for portfolio-level initiatives.
- Innovation and Research Integration: Stay current with cutting-edge ML/AI research. Prototype and translate novel techniques into hardened, scalable solutions within GEICO’s insurance ecosystem.
- Cross-Functional Collaboration: Drive collaboration across Product, Engineering, Data Platform, Governance, Legal, Security, and Operations to ensure responsible, reliable, and effective AI adoption.
Other
- PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience
- Minimum of 8 years of professional experience
- Exceptional communication and stakeholder management skills; ability to influence senior executives and drive alignment across product, engineering, and business functions.
- Ability to work in one of the following locations: Chevy Chase, Maryland, Palo Alto, CA, New York City, NY, Dallas, TX, Seattle, WA, Chicago, IL, Austin, TX
- GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.
