채용
복지 및 혜택
•Healthcare
•401(k)
•Learning
•Mental Health
•Flexible Hours
•Remote Work
필수 스킬
React
TypeScript
JavaScript
Python
Java
Node.js
Neo4j
SPARQL
NLP
Graph algorithms
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 through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose.
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.
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 through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose.
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.
GEICO is seeking an experienced Staff Software Engineer to join our Knowledge Graph and Content Generation engineering group. This is a high-impact team focused on scaling GEICO's intelligent content creation capabilities through advanced graph-based technologies and AI-driven semantic platforms. In this role, you will lead the technical strategy and implementation of knowledge graph systems, automated content generation workflows, semantic data platforms, and intelligent content delivery solutions that empower our content, marketing, and customer experience teams.
As part of the Mar Tech organization, this Staff Engineer will collaborate closely with product managers, data scientists, content strategists, and marketing teams to design and deliver cutting-edge knowledge-driven platforms that enable personalized, contextually relevant content generation at enterprise scale. You'll work hands-on across the technology stack, from graph databases and semantic modeling to NLP pipelines and content delivery systems, while influencing architecture decisions and engineering best practices.
You will help drive our insurance business transformation as we transition from traditional content creation methods to an AI-powered, knowledge-driven content ecosystem that delivers exceptional customer experiences, while co-creating a culture of innovation, psychological safety, and continuous improvement.
As a Staff Engineer, you will:
- Architect and design enterprise-scale knowledge graph platforms that capture and model GEICO's comprehensive insurance domain expertise, customer insights, product relationships, and market intelligence
- Build automated semantic content generation systems that leverage knowledge graphs to create personalized insurance content, product descriptions, educational materials, and customer communications at scale
- Develop intelligent content workflows and APIs that use graph traversal algorithms, natural language processing, and machine learning to automate content production, template generation, and multi-channel publishing
- Design real-time content personalization engines that query knowledge graphs to deliver contextually relevant messaging based on customer profiles, policy information, and behavioral patterns
- Create sophisticated data ingestion and enrichment pipelines that continuously build and maintain knowledge graphs from structured and unstructured data sources across the enterprise
- Implement semantic search and content discovery platforms that understand customer intent and context through graph-based query processing and recommendation algorithms
- Build internal dashboards and tooling for content performance monitoring, knowledge graph visualization, semantic relationship analysis, and content optimization insights
- Lead cross-functional collaboration with product managers, data scientists, and content strategists to translate business objectives into scalable knowledge-driven technical solutions
- Champion engineering excellence in semantic modeling, ontology design, graph database optimization, and AI/ML integration best practices
- Mentor engineering teams on knowledge graph technologies, content automation frameworks, and distributed system design patterns for semantic platforms
Qualifications:
- Proven experience designing and implementing knowledge management platforms, semantic data systems, content generation tools, or AI-driven developer platforms
- Full-stack developer with extensive experience in modern front-end frameworks (React, TypeScript), web technologies (JavaScript, HTML, CSS/SASS), backend languages (Node.js, Python, Java), and cloud platforms (Azure, AWS, GCP)
- Strong ability to architect distributed semantic systems and graph-based microservice architectures that handle complex data relationships and scale reliably
- Experience with knowledge graphs, semantic technologies, and AI/ML platforms such as Neo4j, Apache Jena, Tiger Graph, or similar graph databases, along with NLP frameworks and content generation models
- Familiarity with semantic web standards (RDF, OWL, SPARQL), ontology design, knowledge representation, and automated reasoning systems
- Deep understanding of content management ecosystems, headless CMS architectures, API-driven publishing workflows, and content delivery optimization
- Experience with AI/ML frameworks for natural language processing, content generation (GPT, BERT, T5), recommendation systems, and knowledge extraction from unstructured data
- Product mindset and passion for building intelligent tools that solve complex content challenges and enhance user experiences through semantic understanding
- Excellent collaboration and communication skills with ability to explain complex semantic concepts to technical and non-technical stakeholders
- In-depth knowledge of CS data structures, algorithms, particularly graph algorithms, semantic matching, and distributed system design patterns
- Experience with MLOps, data pipeline orchestration, and real-time semantic data processing at scale
Experience:
- 6+ years of professional software development experience building full-stack web applications, data platforms, or knowledge management systems
- 4+ years of experience with system architecture and design, particularly in semantic data systems, graph databases, or AI-powered content platforms
- 4+ years of experience with cloud platforms (AWS, GCP, Azure) including graph database services, ML platforms, and distributed semantic processing
- 2+ years of hands-on experience with knowledge graphs, semantic technologies, or AI-driven content generation systems
- Bachelor's degree in Computer Science, Data Science, Computational Linguistics, or equivalent work experience with demonstrated expertise in semantic technologies
Annual Salary
$105,000.00 - $230,000.00
The 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.
At this time, GEICO will not sponsor a new applicant for employment authorization for this position.
The 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. From day one, you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives.
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 an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.
As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.
Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.
- 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.
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.
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GEICO 소개

GEICO
AcquiredThe Government Employees Insurance Company is an American vehicle insurance company headquartered in Fredericksburg, Virginia. Their state of domicile is Maryland. It is the third largest auto insurer in the United States, after State Farm and Progressive Corporation.
10,001+
직원 수
Chase
본사 위치
리뷰
3.9
10개 리뷰
워라밸
3.8
보상
3.2
문화
4.1
커리어
3.4
경영진
3.3
68%
친구에게 추천
장점
Good benefits and health benefits
Flexible hours and remote work options
Great colleagues and teamwork
단점
Limited advancement and upward mobility
High stress and overwhelming workload
Pay could be better
연봉 정보
4,724개 데이터
Junior/L3
Junior/L3 · Customer Service Representative
1,718개 리포트
$48,673
총 연봉
기본급
$48,673
주식
-
보너스
-
$37,347
$63,434
면접 경험
5개 면접
난이도
3.0
/ 5
소요 기간
14-28주
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Final Interview
자주 나오는 질문
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
뉴스 & 버즈
Geico office job drug testing
Anyone here got a Job working at geico for customer service or claims service specialist? I got interview next week but stop smoking thc a week ago and I vape for a while. I know it’s not a long time . But I feel I will get this job but my thc might have me withdraw if they test me . Any feedback will be appreciated I heard they don’t test no more
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