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Internship Knowledge Graph Jobs (NOW HIRING)

Erste Erfahrung in der Entwicklung von Knowledge Graphen mit entweder RDF (Accenca, Ontotext) oder ... Werkstudententätigkeit, Praktikum, Abschlussarbeit verfassen oder wirst du als Reply Ambassador im ...

$22.75 - $29.75/hr

Understanding of embeddings, semantic search, vector databases, knowledge graph and the SAP HANA ... Relevant academic, internship, research, open-source, or personal project experience involving ...

SAP iXp Intern - Full-Stack AI Developer

Palo Alto, CA · On-site

$22 - $29/hr

Understanding of embeddings, semantic search, vector databases, knowledge graph and the SAP HANA ... Relevant academic, internship, research, open-source, or personal project experience involving ...

SAP iXp Intern - Full-Stack AI Developer

Palo Alto, CA · On-site +1

$22.75 - $29.75/hr

Understanding of embeddings, semantic search, vector databases, knowledge graph and the SAP HANA ... Relevant academic, internship, research, open-source, or personal project experience involving ...

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Internship Knowledge Graph information

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How much do internship knowledge graph jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for internship knowledge graph in the United States is $17.87, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $21.15 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.

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What are the most commonly searched types of Knowledge Graph jobs?

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What states have the most Internship Knowledge Graph jobs?

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What other helpful pages are available for Internship Knowledge Graph?

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Infographic showing various Internship Knowledge Graph job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $37,171 per year, or $17.9 per hour.

Machine Learning Engineer Intern (E-Commerce Knowledge Graph) - 2027 Start (PhD)

San Jose, CA • On-site

TikTok
Arts, Entertainment, and Recreation • 1 - 5K employees

$60/hr

Internship

Medical, Life

Posted 9 days ago


TikTok rating

8.2

Company rating: 8.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz


Job description

Responsibilities
The Knowledge Graph team is responsible for the neural network of e-commerce, which includes tasks such as categorizing products, influencers, and merchants, mining product information, and providing this data to the recommendation team. Additionally, they manage operations related to product tags and category attributes. When we come across a product, they determine whether it belongs to the clothing or sports category, who thie product will be suitable for, etc. Furthermore, the team conducts competitive research, identifying top-performing items on the platform and analyzing why one similar product outperforms others. They are also involved in brand recognition. This team plays a pivotal role, in bridging various aspects of our business and maintaining close collaboration with other teams. We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date). Responsibilities: - Craft intricate knowledge graphs, encompassing areas like product/content insights and category/brand/SPU development; - Architect knowledge maps detailing buyer and product connections.
Qualifications
Minimum Qualifications: - Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering or a related discipline. - Experience in at least one of the technological areas: - LLM, natural language generation, named entity recognition, machine translation, question answering, knowledge graph, information extraction, text mining and classification etc. - Computer vision, facial recognition, multimodal learning, object detection & tracking, image classification etc. - Machine learning, transfer learning, graph embedding, representative learning, large-scale optimization, recommendation, reinforcement learning, etc. - Strong coding skills in at least one of the following programming frameworks, e.g. Python, Java, C/C++, Spark etc.; Familiar with at least one of the following deep learning frameworks, e.g., PyTorch, TensorFlow, Keras etc. - Strong analytical and problem-solving skills Preferred Qualifications: - Familiarity with deep learning frameworks like TensorFlow/PyTorch. - Coursework or projects related to text classification, text matching, sequence labeling, and knowledge graphs. - Knowledge of domain adaptation, text mining, and unsupervised/semi-supervised methodologies. - Experience with machine learning and deep learning algorithms, and text representation methods. - Exposure to large-scale text data processing or tools like Hadoop/Spark/Hive/Flink. - Work experience in e-commerce or the Internet industry is preferred
Job Information
[For Pay Transparency]Compensation Description (Hourly) - Campus Intern
The hourly rate range for this position in the selected city is $60- $60.
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

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