Sr. Machine Learning Engineer – Context Engineering

GEICO • Palo Alto, CA

97d • $115,000 - $230,000

About The Position

GEICO is seeking an experienced Sr. Staff Machine Learning Engineer to join our AI org. This person will play key roles for the development of Geico’s virtual assistant platform that elevates the productivity for 30K+ internal associates and the customer experience for millions of policyholders. You will be collaborating with a dynamic team of AI and software engineers to design, develop and deploy systems that ensure scalability, reliability and usability of agentic workflows across Geico. Context engineers build centralized services that ensure seamless ingestion and consumption of internal knowledge and contextual data, giving AI agents comprehensive and up-to-update information to determine optimal next steps. 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 and related ecosystems.

Requirements

• 5+ years of experience designing and building AIML platform and systems utilizing components such as vectordb (e.g. Qdrant, Milvus, etc.), data warehouse (e.g. snowflake), streaming platform (e.g. Kafka), relational database (e.g. postgres sql), knowledge graph (e.g. neo4j), workflow orchestration (e.g. Airflow, Temporal).
• Proficient in Python, Java and similar general-purpose programming languages.
• 3+ years’ experience managing end-to-end software development life cycle (e.g. CICD pipelines, Kubernetes-based deployments, testing, monitoring & alerting, production support etc.) for backend systems and APIs.
• 2+ years’ experience building training, finetuning, real-time/batch inferencing and evaluation systems for AIML models and LLMs, esp. utilizing GPU-powered infrastructure.
• Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field.

Nice To Haves

• 3+ years of experience building enterprise-level semantic knowledge-graph & related capabilities, such as ontology creation, knowledge ingestion, graph queries-based feature engineering, etc.
• 2+ years’ experience utilizing and/or finetuning open source LLMs, Llama, Mistral, Claude etc. to build conversational experiences and agentic workflows, esp. natural-language-based query engines (e.g. text2sql).
• Strong communication and problem-solving skills to excel in dynamic, cross-functional decision-making environments.

Responsibilities

• Own development of key platform components that power end-to-end GenAI agentic workflows.
• 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 for high impact business use cases.
• Establish pragmatic visions & roadmaps that balance business outcome, product release timelines and engineering excellence.
• Contribute to the selection, evaluation, and implementation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, maintainability, etc.
• Lead a small team of engineers for feature & system implementation.
• Troubleshoot and resolve complex software issues, ensuring optimal platform performance and reliability.
• 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

• 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; and tuition assistance.
• Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
• Supports flexibility- We provide workplace flexibility as well as our 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
• Education Level: Bachelor's degree