Staff Machine Learning Engineer

GEICO • Palo Alto, CA

1d • Hybrid

About The Position

GEICO is seeking a Staff AI engineer to join its AI organization. This role involves senior technical leadership in the development of GEICO’s virtual agent platform, aiming to enhance the productivity and quality of service for over 20,000 contact center employees across claims, service, and sales operations. The engineer will collaborate with a dynamic team of AI and software engineers to design, develop, and deploy platforms that ensure the productivity, scalability, and usability of Generative AI (GenAI) workflows across the company. The ideal candidate should possess a proven track record in building and architecting high-performance, multi-system AI/ML platforms, coupled with hands-on experience and a deep enthusiasm for Generative AI technologies. GEICO emphasizes a rewarding career, quality coverage for millions of customers, relentless innovation, and a supportive culture, encapsulated in "The GEICO Pledge" which promises a Great Company, Great Culture, Great Rewards, and Great Careers.

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 architecting, designing and building multi-component AIML platform 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.
• 6+ years’ experience managing end-to-end software development life cycle (version control, CICD pipelines, Kubernetes clusters, testing, monitoring & alerting, production support etc.)
• 6+ years’ experience with cloud providers such as Azure and AWS
• 3+ 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 & Architecture: Own design, architecture and development of multiple inter-connected high-performance, durable and scalable platform components that collectively power large sets of end-to-end GenAI agentic workflows. Examples include knowledge curation & management, search, prompt management, workflow orchestration, action execution systems, semantic knowledge graph, etc.
• System & Platform Evaluation: Own technical decisions regarding the selection and evaluation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, future extensibility, etc.
• 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.
• Strategic Planning: Drive the strategic plan and multi-year product roadmaps of software & platform products, ensuring the efficient allocation of resources and timely delivery of solutions in conjunction of system and business dependencies.
• Technical Leadership: Lead teams of experience engineers for platform implementation. Troubleshoot and resolve complex software issues, ensuring optimal platform performance and reliability. Lead by example in tackling complex technical challenges and driving system-wide architectural improvements.
• Mentorship: Mentor and guide engineers and junior tech leads by setting up engineering best practices, foster career growth, and provide guidance in emerging technical trends and tooling. Collaborate with sr. tech leads in other department to promote enterprise-wide AI best practices and contribute to internal documentations.

Benefits

• The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.
• Personalized development programs
• Industry leading training
• Certification assistance
• Career mentorship and coaching with supportive leaders at all levels
• Employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.
• 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.

What This Job Offers

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