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Internship Knowledge Graph Jobs in Washington, DC

AI Research Assistant

College Park, MD · On-site

$19 - $26.25/hr

Demonstrated hands-on experience - through coursework, research, internship, or a personal project ... Knowledge graphs: building a citation/affiliation/funding graph and querying it; traversal ...

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Internship Knowledge Graph information

See Washington, DC salary details

$10

$20

$29

How much do internship knowledge graph jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for internship knowledge graph in Washington, DC is $20.24, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $23.94 per hour, depending on experience, location, and employer.

What is an internship knowledge graph?

An Internship Knowledge Graph is a structured data model that organizes and connects information related to internships, such as companies offering positions, required skills, educational backgrounds, locations, and application deadlines. It uses nodes and relationships to map out how various internship opportunities are related to one another and to relevant entities. This helps students, employers, and educational institutions easily search, analyze, and recommend internships tailored to specific interests and qualifications.

What types of projects do interns typically work on in a knowledge graph internship?

As a Knowledge Graph intern, you can expect to work on projects involving data modeling, entity extraction, and relationship mapping using large data sets. Interns often collaborate closely with data scientists and software engineers to help build, refine, or maintain knowledge graphs that support enterprise search, recommendation systems, or semantic search features. Typical tasks might include analyzing unstructured data, integrating new data sources, and helping to improve the accuracy and scalability of existing graph-based solutions. This hands-on experience offers valuable exposure to both theory and application in the field of knowledge representation.

What are the key skills and qualifications needed to thrive as a knowledge graph intern, and why are they important?

To thrive as a Knowledge Graph Intern, you typically need a background in computer science, data science, or a related field, with foundational knowledge in graph theory and semantic web technologies. Familiarity with tools like Neo4j, RDF, SPARQL, and programming languages such as Python or Java is often required. Strong analytical thinking, problem-solving abilities, and communication skills help interns collaborate on complex data modeling tasks and clearly present insights. These skills enable effective contribution to building, optimizing, and maintaining knowledge graph systems that enhance organizational data understanding.

What is the difference between Internship Knowledge Graph vs Data Analyst?

AspectInternship Knowledge GraphData Analyst
Required CredentialsRelevant coursework, basic understanding of knowledge graphsBachelor's degree in data science, statistics, or related field
Work EnvironmentInternship setting, research projects, collaborative teamsCorporate or consulting environments, data-driven decision making
Industry UsageEmerging in AI, semantic web, and knowledge management projectsWidely used across finance, marketing, healthcare, and tech sectors
Search & Comparison IntentUnderstanding entry-level roles involving knowledge graphsAnalyzing data to derive insights and support business strategies

The Internship Knowledge Graph role focuses on foundational understanding and research in knowledge graphs, often suitable for students or entry-level candidates. Data Analysts, however, typically have more advanced data handling skills and work across various industries to interpret data for strategic decisions. While both roles involve data concepts, their scope, environment, and experience levels differ significantly.

What are the most commonly searched types of Knowledge Graph jobs in Washington, DC?

The most popular types of Knowledge Graph jobs in Washington, DC are:

What are popular job titles related to Internship Knowledge Graph jobs in Washington, DC?

For Internship Knowledge Graph jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Internship Knowledge Graph jobs in Washington, DC look for?

The top searched job categories for Internship Knowledge Graph jobs in Washington, DC are:

Infographic showing various Internship Knowledge Graph job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $42,099 per year, or $20.2 per hour.

Lead Software Engineer (Python, Vector Databases, AWS)

Mclean, VA • On-site

Capital One
Funds, Trusts and Financial Programs • 10K+ employees

Full-time

Re-posted 5 days ago


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz


Job description

Lead Software Engineer (Python, Vector Databases, AWS)
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment?
At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineerswho are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
As a Lead Software Engineer, you will build the data infrastructure layer that powers Capital One's AI-driven content management capabilities. You will own the Content Hub - our vector and graph database platform for semantic content retrieval - including the embedding pipelines, knowledge graph schema, and indexing infrastructure that enable AI models to retrieve the right content, rules, and context at generation time.
What You'll Do:
  • Design and build the Content Hub - vector database and graph database infrastructure for semantic retrieval. Own the indexing pipeline, query layer, and integration with AI content generation platform.
  • Build and operate embedding pipelines, generate embeddings, manage chunking strategies, and handle index refresh as content evolves.
  • Own embedding model selection and refresh strategy - evaluate tradeoffs between embedding model quality and operational cost; design refresh pipelines that keep the index current as the underlying content corpora changes.
  • Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code
  • Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
  • Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

Basic Qualifications:
  • Bachelor's Degree
  • At least 4 years of experience in software engineering (Internship experience does not apply)
  • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:
  • Experience with data infrastructure, search systems, or AI/ML engineering
  • Experience working with vector databases or embedding-based search
  • Experience working with data pipeline engineering - ingestion, transformation, chunking, and indexing at scale; familiarity with batch and streaming pipeline patterns
  • Experience with Python for data pipeline and backend service development
  • Experience with RAG architecture
  • 2+ years of experience in Agile practices
  • Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $197,300 - $225,100 for Lead Software Engineer
Richmond, VA: $179,400 - $204,700 for Lead Software Engineer
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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