Why Join GEICO?
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.
Overview: We are seeking an accomplished Senior ML Engineer to serve as an individual contributor to the generative AI space at GEICO. In this role, you will be collaborating with a dynamic team of AI and software engineers to design, develop, and deploy systems that drive business value. Your passion for scalability, reliability, and usability of generative AI workflows and approaches will allow you to provide hands-on guidance, ensure architectural excellence, and lead by example to solve complex, large-scale, cross-functional problems.
Responsibilities:
Contribute to 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, help define project scope and prioritize feature backlogs. Execute pragmatic technical visions & roadmaps that balance business outcomes, 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.
Participate 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.
Basic Qualifications
5 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.
3 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
2 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
Preferred Qualifications:
2 years interfacing directly with internal business stakeholders and/or external stakeholders on AIML initiatives
2 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.
Strong communication and problem-solving skills to excel in dynamic, cross-functional and ambiguous decision-making environments
Annual Salary
$115,000.00 - $230,000.00The 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.
The GEICO Pledge:
Great Company: Protecting customers through life’s twists and turns with innovation and integrity.
Great Careers: Personalized development programs, mentorship, and certification assistance.
Great Culture: Inclusive and collaborative culture rooted in shared success.
Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.
Skills Required
- 5 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
- 3 years managing end-to-end software development life cycle for backend systems and APIs
- 2 years in training, finetuning, real-time/batch inferencing and evaluation systems for AIML models and LLMs
- 2 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
GEICO Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GEICO and has not been reviewed or approved by GEICO.
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Healthcare Strength — Healthcare coverage is described as comprehensive, spanning medical, prescription, behavioral health, dental (including orthodontia), and vision options with multiple plan types. Wellness resources, HSAs/FSAs, and related programs add breadth to the core health offering.
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Retirement Support — Retirement support includes a 401(k) with an employer match, and the match level is still characterized as good even after adjustments. Access to a credit union and financial education tools further strengthens the overall retirement/financial support picture.
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Flexible Benefits — Work-life programs provide flexibility through hybrid scheduling and limited remote-work options, alongside a broad menu of ancillary benefits such as commuter pre-tax programs, employee discounts, and charitable gift matching. Education support via tuition assistance and scholarships adds additional optionality for different needs.
GEICO Insights
What We Do
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