AI Developer : AI Application development using LLMs, Knowledge graphs and Ontologies  - Summer Internship

Company Overview

Siemens Foundational Technology (FT) is the central R&D department of Siemens and thus has a key role to shape the future of our products. FT acts as a strategic partner to support the executive units of Siemens. In consequence the main research focus is on future technologies for industry, infrastructure, mobility, and healthcare. In this context, we are looking for an Intern that supports our Software Systems and Processes team in Princeton, NJ by researching and developing scalable intelligent systems using LLMs and semantic technologies.

In this role you will work on-site in Princeton, NJ. The position is a fulltime position for at least 3 months and remote work is not available.

Role Summary

In this internship, we are looking for a motivated and talented student with experience in AI development to develop AI-driven solutions that leverage Large Language Models (LLMs), ML models, ontologies, and knowledge graphs to improve knowledge discovery, question-answering, and information retrieval. The internship provides a unique experience to contribute to innovative industrial applications while mentored by experienced professionals in an international setting. The position is a full-time role for at least 3 months and can be executed remotely, however on-site at Princeton, NJ is preferred.

Key Responsibilities

Research into how LLMs and/or ML models can be leveraged for building and extending ontologies and knowledge graphs.Apply latest advancements in knowledge representation and semantic technologies.Collaborate with domain and subject matter experts to implement and automate ontology creation process.Develop pipelines and tools to ingest data from diverse data sources into a knowledge representation.Fine tune foundational large language models (LLM) or train ML models to augment knowledge representation and data retrieval process.Setup model training, testing pipelines. Develop and deploy AI Agentic Workflows.Document your findings, architecture, results as a publishable scientific paper.   

Education and Experience

Required: Enrolled in Computer science or engineering master’s program.Preferred: Enrolled in a PhD program with the background in artificial intelligence, computer science, or a related field.

Basic Qualifications

Fluent in English. Strong background in knowledge representation and semantic technologies (e.g., RDF, SPARQL, OWL).Experience with fine tuning of LLM (e.g., LoRA) and training/testing ML models.Basic understanding transformer-based models, attention mechanisms, and the latest LLM architectures (GPT, BERT, encoder-decoder). Proficient in Python and ML frameworks (e.g., Pytorch, HF transformers or similar).Experience with Vector Databases (e.g., Pinecone, Milvus, Weaviate, Chroma or other).Experience with LLM evaluation frameworks (e.g., Opik).

Preferred Skills

Ability to quicky learn to use new technologies and frameworks.Experience with graph databases (e.g., Neo4j, AWS Neptune) and knowledge graph toolset (e.g. Altair Graph Studio).Experience with AI Agentic frameworks and platforms (e.g., LangGraph, Semantic Kernel, NeMo).Experience with MLOps/LLMOps.Experience with RAG frameworks.Experience in deploying and serving LLM (e.g., vLLM). Excellent problem-solving skills and attention to detail.Ability to work independently and manage time effectively.

Work setting

The position does require the person to be in the United States of America and hold a valid work permit for the US.

You’ll benefit from:  

Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html The pay range for this position is $23.00-$50.00 per hour. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications and premium geographic location.  
Create a better #TomorrowWithUs 
About Siemens: We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with purpose adding real value for customers.  
Our Commitment to Diversity, Equity, and Inclusion:  We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.  Learn more about our commitment to DEI here. 
Protecting the environment, conserving our natural resources, fostering the health and performance of our people as well as safeguarding their working conditions are core to our social and business commitment at Siemens. They are an integral part of our Business Conduct Guidelines and our corporate strategy.  
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Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

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Criminal History
Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.