Geico

Staff Machine Learning Engineer

Geico$130K — $260K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or higher in Computer Science, Engineering, Statistics or related field.
  • 6+ years of software development experience with Java, C++, Python or C#.
  • 6+ years designing AIML systems with open-source/cloud-agnostic components.
  • 4+ years managing end-to-end software development life cycle processes.
  • 4+ years developing training and evaluation systems for AIML models and LLMs.
  • 2+ years fine-tuning LLMs like GPT, Llama for conversational workflows.

Responsibilities

  • Own design and maintain high-performance platform components.
  • Evaluate and implement appropriate software technologies and tools.
  • Collaborate across teams to gather requirements and define project scope.
  • Assist in planning and estimating software development projects.
  • Lead a team of engineers in feature implementation and troubleshooting.
  • Mentor junior engineers through code reviews and design sessions.

Benefits

  • Career development and mentorship opportunities.
  • Dynamic team environment with collaborative culture.
  • Opportunity to work with cutting-edge AI technologies.
  • Involvement in impactful projects that enhance service quality.
  • Potential for employment sponsorship.
Full Job Description
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. 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 Annual Salary $130,000.00 - $260,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.

About Geico

GEICO (Government Employees Insurance Company) is an American auto insurance company with headquarters in Chevy Chase, Maryland. It is the second largest auto insurer in the United States, after State Farm. GEICO is a wholly owned subsidiary of Berkshire Hathaway that provides coverage for more than 24 million motor vehicles owned by more than 15 million policy holders as of 2017. GEICO writes private passenger automobile insurance in all 50 U.S. states and the District of Columbia. The insurance agency sells policies through local agents, called GEICO Field Representatives, and over the phone directly to the consumer, and through their website.
Learn more about Geico
Size
40,000 employees
Industry
Founded
1936

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