Lead the design and delivery of ML and GenAI solutions for complex, ambiguous, cross-functional problems; define success metrics, validation plans, and pathways to production.
Partner with product, engineering, and domain experts to translate business needs into feasible technical roadmaps; de-risk assumptions and align milestones to outcomes.
Design online experiments and quasi-experimental analyses; instrument and monitor business KPIs to quantify value and inform decision-making.
Serve as a technical lead setting technical direction, architecting scalable solutions, and making authoritative decisions on modeling approaches and trade-offs.
Mentor junior scientists and engineers, share best practices, and cultivate scientific rigor, coding standards, and reproducibility.
Communicate approach, trade-offs, and results to technical and non-technical audiences; provide realistic estimates and influence decision-making across the organization.
Requirements
Master’s or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience.
3+ years of experience developing, deploying, and operating AI/ML models in production.
Strong proficiency in Python, data processing, and SQL.
Proficiency with AI/ML frameworks such as PyTorch and Scikit-learn.
Experience designing online experiments and conducting causal analyses; demonstrated ability to define, instrument, and monitor business KPIs.
Proven experience leading end-to-end AI/ML initiatives and partnering cross-functionally with product and engineering.
Experience with the design, development, and optimization of high-quality prompts and templates that guide the behavior and responses of LLMs (preferred).
Experience with GenAI quality management, including evaluators, red-teaming, guardrails, and human-in-the-loop systems (preferred).
Familiarity with insurance operations and model governance in regulated environments (preferred).
Candidates must be open to the following locations: Chevy Chase, MD; Palo Alto, CA; New York City, NY.
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.
Benefits
The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.
Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
Market-competitive compensation.
401K savings plan vested from day one with a 6% match.
Performance and recognition-based incentives.
Tuition assistance.
Access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders.
Mental healthcare.
Fertility and adoption assistance.
Workplace flexibility and GEICO Flex program (ability to work from anywhere in the US for up to four weeks per year).
Employee engagement and recognition programs that reward positive impact.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Machine LearningGenAIPythonSQLPyTorchScikit-learndata processingcausal analysesKPI monitoringAI/ML model deployment