Position: Bell Labs Machine Learning Intern
Number of Position(s): 1
Duration: 10 weeks
Date:  June 2 – August 8, 2025
Location: On-site/Hybrid

 

Education Recommendations

Currently a candidate for a Master’s degree or diploma in Computer Science, Electrical Engineering, Mathematics, or a related field with an accredited school in the US.

You have:

Knowledge of machine learning and/or natural language processing, such as large language models (LLMs) and their application to real-world problems.  Affinity with building web applications and loves to code in Python and/or Java/JavaScript. Strong ability to work within teams with excellent interpersonal skills and written/verbal communication skills.

 

It would be nice if you also had

Some experience with creating practical data analytics and/or machine learning applications.

 

As part of our team, you will:

During this internship, you will investigate essential hybrid large language models (LLM) and knowledge graph algorithms designed for creating insights from static and time-series industrial data. The project will specifically center on modeling and prototyping new techniques, employing the latest approaches to large language model (LLM)-based knowledge extraction from unstructured data, encompassing documents, text, and industrial operational technology (OT) data.

You will investigate and utilize deep learning methods in the shape of transformers, graph embeddings, topic modeling, unsupervised clustering methods, and hybrid neural-symbolic methods.