GEICO · 1 day ago
Sr. Machine Learning Engineer – Context Engineering
GEICO is seeking an experienced Sr. Staff Machine Learning Engineer to join their AI organization. This role involves developing GEICO’s virtual assistant platform to enhance productivity for internal associates and improve customer experience, requiring collaboration with a team of AI and software engineers.
Auto InsuranceFinancial ServicesGovernmentInsuranceInternetMobile
Responsibilities
Own development of key platform components that power end-to-end GenAI agentic workflows. Examples include knowledge curation & management, search, context management, workflow orchestration, etc
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 for high impact business use cases. Establish pragmatic visions & roadmaps that balance business outcome, product release timelines and engineering excellence
Contribute to the selection, evaluation, and implementation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, maintainability, etc
Lead a small team of engineers for feature & system implementation. Troubleshoot and resolve complex software issues, ensuring optimal platform performance and reliability
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
Qualification
Required
5+ years of experience designing and building AIML platform and systems utilizing components such as vectordb (e.g. Qdrant, Milvus, etc.), data warehouse (e.g. snowflake), streaming platform (e.g. Kafka), relational database (e.g. postgres sql), knowledge graph (e.g. neo4j), workflow orchestration (e.g. Airflow, Temporal)
Proficient in Python, Java and similar general-purpose programming languages
3+ years' experience 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' experience building training, finetuning, real-time/batch inferencing and evaluation systems for AIML models and LLMs, esp. utilizing GPU-powered infrastructure
Bachelor's degree or above in Computer Science, Engineering, Statistics or a related field
Preferred
3+ years of experience building enterprise-level semantic knowledge-graph & related capabilities, such as ontology creation, knowledge ingestion, graph queries-based feature engineering, etc
2+ years' experience utilizing and/or finetuning open source LLMs, Llama, Mistral, Claude etc. to build conversational experiences and agentic workflows, esp. natural-language-based query engines (e.g. text2sql)
Strong communication and problem-solving skills to excel in dynamic, cross-functional 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.
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
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