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Machine Learning Engineer

Job in Palo Alto, Santa Clara County, California, 94306, USA
Listing for: Relha LLC
Full Time position
Listed on 2026-06-08
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Staff Machine Learning Engineer

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 on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.

Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. 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 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.
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. postgresql), Nosql (e.g. Mongo

    DB, 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, fine tuning, real-time/batch inferencing and evaluation systems for AIML models and LLMs, esp. utilizing GPU-powered infrastructure
  • 2+ years’ experience utilizing and/or fine tuning LLMs such as GPT, Llama, Mistral, Claude etc. to build conversational experiences and/or agentic workflows
$ - $

The above annual salary range is a…

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