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Internship Knowledge Graph Jobs in California (NOW HIRING)

The Mortgage Office

AI Engineer

San Mateo, CA · On-site

$160K - $180K/yr

Apply rules and graph-based models to represent relationships between borrowers, entities, and ... Academic projects, internships, or part-time work during degree programs will not be considered as ...

Amazon

SDE II, Veritas Core Platform

San Diego, CA · On-site

$103K - $141K/yr

This knowledge is then used for several security initiatives like security reviews, threat modeling ... the graph database cluster, performance of our daily ETL and vended APIs. Partner with other ...

SpaceX

Software Engineer, CDN (Starlink)

Palo Alto, CA · On-site

$155K - $185K/yr

Professional distributed systems experience (internship experience is applicable). * Networking ... Knowledgeable in network topology, numerical optimization techniques, graph theory approaches, or ...

Illumio

Staff Engineer - Container Security

Sunnyvale, CA · On-site

$194K - $233K/yr

Powered by the Illumio AI Security Graph, our breach containment platform identifies and contains ... You will also mentor junior engineers, new-grads, and interns to help them grow as engineers and ...

Pronto

Robotics Planning Engineer

San Francisco, CA

$119K - $161K/yr

... internship) software development experience * Strong foundation in motion planning algorithms ... Experience with graph algorithms (Dijkstra, heuristic search) * Knowledge of GEOS, Shapely or other ...

Pronto

Senior Robotics Planning Engineer

San Francisco, CA · On-site

$176K - $240K/yr

... internship) software development experience * Strong foundation in motion planning algorithms ... Experience with graph algorithms (Dijkstra, heuristic search) * Knowledge of GEOS, Shapely or other ...

Illumio

Staff Engineer, Container Security

Sunnyvale, CA · On-site

$194K - $233K/yr

Powered by the Illumio AI Security Graph, our breach containment platform identifies and contains ... You will also mentor junior engineers, new-grads, and interns to help them grow as engineers and ...

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Internship Knowledge Graph information

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 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 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 most commonly searched types of Knowledge Graph jobs in California? The most popular types of Knowledge Graph jobs in California are:
What are popular job titles related to Internship Knowledge Graph jobs in California? For Internship Knowledge Graph jobs in California, the most frequently searched job titles are:
What job categories do people searching Internship Knowledge Graph jobs in California look for? The top searched job categories for Internship Knowledge Graph jobs in California are:
What cities in California are hiring for Internship Knowledge Graph jobs? Cities in California with the most Internship Knowledge Graph job openings:
Internship Knowledge Graph jobs near you

AI Engineer

The Mortgage Office

San Mateo, CA • On-site

$160K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

About Applied Business Software, Inc.,
Applied Business Software, Inc., (ABS), the maker of The Mortgage Office®, is the industry leader in private lending and loan management technology. Since 1978, our software has powered thousands of lenders, including private money firms, municipalities, CDFIs, Tribal Nations, universities, franchisors, third-party servicers and other non-bank lenders, helping them streamline, automate, and scale their lending operations with confidence.
About the role
We are seeking an AI Engineer who will develop our new AI-first Loan Origination product. This role will focus on delivering production-ready, auditable, and high-performance AI system, supporting our continued growth as a SaaS business and strengthening internal processes, performance, and cross-team alignment.
What you'll do
  • Use LLMs and RAG techniques for accurate data classification. Apply rules and graph-based models to represent relationships between borrowers, entities, and assets
  • Work with team to implement agentic in-app experience that enable users to interrogate, explore, and act on data insights
  • Implement observability and feedback loops to monitor model performance, implement human-in-the-loop validation, and continuously improve accuracy over time.

Qualifications
  • 2-3 years of full-time professional experience (post-graduation) developing and managing production AI systems that use LLMs. Academic projects, internships, or part-time work during degree programs will not be considered as professional experience.
  • Hands-on experience with agent frameworks (e.g., LangChain) and retrieval-augmented generation (RAG), including real-world implementation and operational use.
  • Experience building APIs and data pipelines with a strong foundation in system design, testing, CI/CD, and cloud deployment.
  • Experience with prompt engineering, fine-tuning, and evaluation methods for improving real-world model performance.

Nice to Have
  • Experience with knowledge graphs, recommendation engines, or rules engines.
  • Familiarity with AI observability and monitoring tools.
  • Good understanding of data pipelines, and model evaluation in real-world decisioning systems.
  • Collaborate with backend engineers to deploy AI models as low-latency, highly available microservices in the system.

Why Join Us?
  • Comprehensive health, dental, and vision coverage.
  • 401(k) with company funded match.
  • Mission-driven company with a 45+ year legacy and industry-leading products trusted by thousands of lenders.
  • Collaborative, supportive team known for long tenure, deep expertise, and a culture built on trust and integrity.
  • Help modernize and evolve the leading platform in private lending technology.
  • Beautiful San Mateo office with a tight-knit culture.
  • Competitive compensation and room for professional growth.
  • Performance-based bonuses.
  • Generous PTO.
  • Modern workspace with on-site amenities.
  • Awesome company Christmas party.

The pay range for this role is:
160,000 - 180,000 USD per year (San Mateo, CA)

Apply