Senior Machine Learning Engineer

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 - $230,000.00 GEICO will consider sponsoring a new qualified applicant for employment authorization for this position. GEICO Pledge Great Company At GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs. We’re an iconic brand that thrives on innovation, exceeding our customers’ expectations and enabling our collective success. Great Careers We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career – and your potential – in mind. You’ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an established culture of caring, inclusion, and belonging that values different perspectives. Our teams are led by dynamic, multi‑faceted leaders, driven by performance excellence and unified under a shared purpose. Great Rewards 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. Equal Employment Opportunity 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. #J-18808-Ljbffr