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Intern Knowledge Graph Jobs in California (NOW HIRING)

Our platform is built on a Computational Knowledge Graph foundation that contextualizes and ... As a Data Science Intern, you will be an essential contributor to our AI-driven initiatives. You'll ...

Our platform is built on a Computational Knowledge Graph foundation that contextualizes and ... As a Data Science Intern, you will be an essential contributor to our AI-driven initiatives. You'll ...

Our platform is built on a Computational Knowledge Graph foundation that contextualizes and ... As a Full Stack Engineering Intern, you will work on our AI-powered platforms that serve customers ...

Our platform is built on a Computational Knowledge Graph foundation that contextualizes and ... As a Full Stack Engineering Intern, you will work on our AI-powered platforms that serve customers ...

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Intern Knowledge Graph information

What are the key skills and qualifications needed to thrive as an Intern in Knowledge Graphs, and why are they important?

To thrive as a Knowledge Graph Intern, you need a strong foundation in computer science fundamentals, data structures, and familiarity with semantic web concepts, often supported by coursework or a related degree in computer science or information science. Experience with technical tools such as SPARQL, RDF, graph databases (like Neo4j), and possibly Python or Java is typically expected. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with teams and translate complex ideas clearly. These competencies enable interns to contribute meaningfully to knowledge graph projects, ensuring data is structured, connected, and accessible for organizational use.

What types of projects can an Intern Knowledge Graph expect to work on, and how do these projects contribute to larger organizational goals?

As an Intern Knowledge Graph, you can expect to work on projects involving the design, development, and maintenance of knowledge graphs, which help structure and connect data across the organization. Tasks may include data integration, ontology development, and writing queries to extract meaningful insights from large datasets. These projects often support initiatives in artificial intelligence, data analytics, and search optimization, making your contributions valuable to multiple teams. You'll likely collaborate with data scientists, software engineers, and business analysts, gaining exposure to both technical and strategic aspects of knowledge management.

What are Intern Knowledge Graphs?

Intern Knowledge Graphs refer to structured data models that represent the relationships and attributes of information relevant to internship programs, roles, and experiences. These graphs help organizations and educational institutions organize and analyze data about interns, such as their skills, projects, mentors, and learning outcomes. By leveraging knowledge graphs, companies can improve internship matching, track progress, and gain insights into intern performance and program effectiveness. This technology is especially useful in large organizations managing multiple internship opportunities or research projects.

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

AspectIntern Knowledge GraphIntern Data Analyst
Required CredentialsBasic understanding of data structures, some knowledge of graph databasesBasic statistics, Excel, SQL knowledge
Work EnvironmentTech-focused, research-driven, often in AI or data science teamsBusiness or research settings, analyzing datasets and generating reports
Employer & Industry UsageTech companies, AI firms, research institutionsFinance, marketing, healthcare, and other industries

Intern Knowledge Graph roles typically focus on understanding and working with graph databases and data structures, often within tech or research environments. Intern Data Analyst positions involve analyzing datasets, creating reports, and supporting decision-making across various industries. While both roles require foundational data skills, the Intern Knowledge Graph role emphasizes graph database knowledge, whereas the Intern Data Analyst role centers on data analysis and reporting.

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 Intern Knowledge Graph jobs in California? For Intern Knowledge Graph jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Intern Knowledge Graph jobs? Cities in California with the most Intern Knowledge Graph job openings:

Data Scientist Intern

Avathon

Pleasanton, CA • On-site

$30 - $35/hr

Full-time, Internship

Posted 25 days ago


Job description

Who We Are & Why Join Us
Avathon is the leading Industrial AI autonomy platform, helping customers across heavy industries -- energy, mining, manufacturing, aerospace, defense, and logistics -- accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale.
Cutting-Edge AI Innovation -- Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment -- Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact -- Work on AI-driven projects that drive real change across industries and improve lives.
Learn more at: avathon.com
About the Role:
As a Data Science Intern, you will be an essential contributor to our AI-driven initiatives. You'll leverage your knowledge in statistics, machine learning, and programming to analyze large datasets and deliver insights that drive key business decisions. This role offers the opportunity to work alongside experienced professionals and collaborate across multiple teams, gaining valuable exposure to real-world AI applications in renewable energy, supply chain, and industrial operations.
You will be working closely with team members who have deep technical skills and a passion for solving complex problems with data science and machine learning.
You Will:
  • Analyze complex datasets to extract actionable insights for renewable energy, supply chain, and industrial applications
  • Develop and apply machine learning models to solve real business challenges
  • Apply data mining techniques, statistical analysis, and help build prediction systems
  • Assist in feature selection, data preprocessing, and model optimization
  • Collaborate with cross-functional teams to design data-driven solutions
  • Create automated anomaly detection systems and track performance metrics
  • Present findings and results to both technical and non-technical stakeholders
  • Contribute to product development by implementing algorithms in our platform

You'll Have:
  • Currently enrolled or recently graduated with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Physics, Engineering, or a related field
  • Proficiency in programming languages such as Python or R
  • A solid understanding of machine learning techniques and algorithms (regression, classification, clustering)
  • Experience with data manipulation libraries (Pandas, NumPy)
  • Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly)
  • Strong problem-solving skills and a collaborative mindset
  • Excellent written and verbal communication skills
  • A can-do attitude and desire to make a difference

Nice to Have:
  • Familiarity with Deep Learning frameworks such as TensorFlow or PyTorch
  • Experience with time series analysis and forecasting
  • Knowledge of industrial systems or IoT time series data
  • Interest in or exposure to AI agents and agentic workflows
  • Familiarity with RAG (Retrieval-Augmented Generation) concepts and LLM applications
  • Exposure to cloud platforms (AWS, GCP, Azure)
  • Experience with SQL or Graph databases
  • Portfolio of projects demonstrating data science skills (GitHub, Kaggle, etc.)
  • Ability to stay for an extended co-op or full-time opportunity after internship

Coding Challenge:
As part of the interview process, you will be asked to complete a technical assessment.
Salary Range: $30-$35/hour
Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.
Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.