GEICO · 11 hours ago
Senior Machine Learning Engineer
Palo Alto, CA
Full-time
Onsite
Mid, Senior Level
$115K/yr - $230K/yr
5+ years expGEICO is a company that values innovation and aims to exceed customer expectations. They are seeking a Senior Machine Learning Engineer to work collaboratively with a team to design, develop, and deploy AI systems that drive business value.
Auto InsuranceFinancial ServicesGovernmentInsuranceInternetMobile
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
Qualification
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 (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
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
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.
Company
GEICO
GEICO, Government Employees Insurance Company, has been providing affordable auto insurance since 1936. It is a sub-organization of Berkshire Hathaway.
10001+ employees
H1B Sponsorship
GEICO has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (128)
2024 (277)
2023 (338)
2022 (212)
2021 (148)
2020 (205)
Funding
Current Stage
Late StageTotal Funding
unknown1996-01-01Acquired
Leadership Team
Todd Combs
Chairman, President, and Chief Executive Officer
Clayton Johnson
Sr. Director of Product Management
Recent News
Business Wire
2026-01-07
2025-12-15
Company data provided by crunchbase