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NEXTMOVEFDE careers · United States

Staff Machine Learning Engineer

No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.

About Geico

Third-largest US auto insurer, selling personal auto and property coverage direct-to-consumer to millions of drivers; a wholly owned Berkshire Hathaway subsidiary.

Acquired · 5000+ people

Job description

The full responsibilities and requirements are on the employer’s site.

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Source and classification

Internal deployment & tooling · Evidence for this classification:

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. GEICO is seeking a Staff AI engineer to join our AI org. This person will play key technical leadership roles for the development of Geico’s virtual agent platform that elevates the productivity and quality of service for 20K+ contact center employees in claims, service and sales operations, etc. You will be collaborating with a
More from the job description

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. GEICO is seeking a Staff AI engineer to join our AI org. This person will play key technical leadership roles for the development of Geico’s virtual agent platform that elevates the productivity and quality of service for 20K+ contact center employees in claims, service and sales operations, etc. You will be collaborating with a dynamic team of AI and software engineers to design, develop and deploy systems that ensure productivity, scalability and usability of GenAI workflows across Geico. The ideal candidate should demonstrate a proven track record of building high performance AI/ML platform & systems, with hands-on experience and deep enthusiasm for Generative AI technologies. This role requires a minimum of 6 years of relevant experience Responsibilities: • Technical Design & Implementation: Own design, development [... source excerpt omitted ...] nts. • Cross-functional collaboration: Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, define project scope and prioritize feature backlogs. Establish pragmatic technical visions & roadmaps that balance business outcome, product release timelines and engineering excellence. • Project Planning: Assist in the planning and estimation of software development projects, ensuring the efficient allocation of resources and timely delivery of solutions. • Technical Leadership: Lead a small team of engineers for feature implementation. Troubleshoot and resolve complex software issues, en [... source excerpt omitted ...] r engineers via code reviews and design sessions, fostering a collaborative and high-performance team culture, elevating AI engineering best practices across the company. Minimum Qualifications • Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field • 6+ years of professional software development experience with at least two general-purpose programming languages such as Java, C++, Python or C#. • 6+ years of experience designing and building AIML systems utilizing open-source/cloud-agnostic components such as search engine (e.g. elastic search, Qdrant), data warehouse (e.g. snowflake), streaming platform (e.g. Kafka), relational database (e.g. p

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