Hybrid Senior Machine Learning Engineer

at GEICO

• Job title: Senior Machine Learning Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: $115,000 - $230,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Java, Kubernetes, Python, SDLC
• Location requirements: Hybrid, Palo Alto, United States

About the role

• Senior ML Engineer serving as an individual contributor in generative AI at GEICO. Collaborating with teams to design, develop, and deploy AI systems that drive business value.

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.
• 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.

Requirements

• 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.
• Strong communication and problem-solving skills to excel in dynamic, cross-functional and ambiguous decision-making environments.

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.