Staff Machine Learning Engineer

GEICOPalo Alto, CA
1d$130,000 - $260,000

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. Overview: We are seeking an accomplished Staff ML Engineer who will serve as a technical leader for the generative AI space at GEICO. In this individual contributor role, 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 generative AI solutions, applications and workflows across GEICO. You will provide hands-on guidance, ensure architectural excellence, and lead by example to solve complex, large-scale, cross-functional problems.

Requirements

  • 6+ years of experience designing and building scalable production AIML applications and systems in cloud environments
  • Proficient in Python, Java and similar general-purpose programming languages.
  • 4 years 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 in training, finetuning, real-time/batch inferencing and evaluation systems for AIML models and LLMs
  • 3 years owning end-to-end development, monitoring, maintenance, and continuous improvement of scalable, robust AIML applications.
  • Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field

Nice To Haves

  • 3 years interfacing directly with internal business stakeholders and/or external stakeholders on AIML initiatives
  • 4 years working with cloud provider solutions such as Azure and AWS
  • 2 years with tools that power LLM-based AI agents: eval frameworks, agent tooling, RAG pipelines, prompt engineering, etc.
  • 1 year building LLM-based AI agent workflows via both no code/low code and traditional high-code development environments
  • 1 year ideating, integrating, and designing applications and frontends using React or similar.
  • Strong communication and problem-solving skills to excel in dynamic, cross-functional and ambiguous decision-making environments

Responsibilities

  • Take responsibility for the design, development and maintenance of high-performance AI solutions that utilize agentic workflows to deliver concrete business value for internal stakeholders. Examples include knowledge assistants, voice/text-based conversational AI solutions, document/audio processing copilots, voice agents, robotic process automation, etc.
  • 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.
  • Integrate and build solutions using GEICO AI platform architecture.
  • Partner with platform teams to communicate requirements, understand current capabilities and gaps, and contribute to platform development.
  • Work on first-of-its-kind solutions within GEICO, with a deep understanding of business and technical processes, applications, and architecture to guide development.
  • Contribute to the selection, evaluation, and implementation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, maintainability, etc.
  • Take ownership in project planning and stakeholder management, ensuring the efficient allocation of resources and timely delivery of solutions.
  • Mentor and guide junior engineers via code reviews and design sessions, fostering a collaborative and high-performance team culture.

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.
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