Staff Machine Learning Engineer

GEICO • Palo Alto, CA

1d • Hybrid

About The Position

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.

Requirements

• 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. postgresql), Nosql (e.g. MongoDB, Cassandra), distributed processing (e.g. Spark, Ray), workflow management (e.g. Airflow, Temporal), robotic process automation, context management, etc.
• 4+ years’ experience managing end-to-end software development life cycle (version control, CICD pipelines, Kubernetes clusters, testing, monitoring & alerting, production support etc.)
• 4+ years’ experience building training, finetuning, real-time/batch inferencing and evaluation systems for AIML models and LLMs, esp. utilizing GPU-powered infrastructure
• 2+ years’ experience utilizing and/or finetuning LLMs such as GPT, Llama, Mistral, Claude etc. to build conversational experiences and/or agentic workflows

Responsibilities

• Technical Design & Implementation: Own design, development and maintenance of high-performance, durable and scalable platform components. Examples include knowledge management, search, prompt management, workflow orchestration, action execution systems, logging & tracing, semantic knowledge graph, etc.
• System Evaluation: Contribute to the evaluation and implementation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, maintainability, etc. for individual systems and platform components.
• 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, ensuring optimal system performance and reliability.
• Mentorship: Mentor and guide junior engineers via code reviews and design sessions, fostering a collaborative and high-performance team culture, elevating AI engineering best practices across the company.

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.
• Financial benefits including market-competitive compensation
• a 401K savings plan vested from day one that offers a 6% match
• performance and recognition-based incentives
• tuition assistance
• Access to additional benefits like mental healthcare
• fertility and adoption assistance
• workplace flexibility
• GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.
• personalized development programs
• industry leading training
• certification assistance
• career mentorship and coaching with supportive leaders at all levels
• employee engagement and recognition programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior