Research Scientist – LLM Research Intern: 2025
- Yorktown HeightsSan JoseCambridgeAlbany
- Research
- Internship
Research Scientist – LLM Research Intern: 2025
Introduction
Want to be a part of preparing and governing data for IBM’s Granite models? We are a group of scientists, engineers and designers working on the state-of-the-art Data and Model Factory that produces all of IBM’s Granite models. Our work enables and accelerates the entire data pipeline, from data clearance and acquisition to engineering. These data are used in pre-training, fine-tuning, instruction-tuning, orAG solutions powered by IBM Granite. We thrive in opensource innovation,esponsible use of data and, collaboration across disciplines, including backend engineering, data science, distributed computing,, among others.
Your Role and Responsibilities
This is for a 2025 summer internship with the following start dates: May – August or June – September for quarter system schools.
Want to be a part of preparing and governing data for IBM’s Granite models? We are a group of scientists, engineers and designers working on the state-of-the-art Data and Model Factory that produces all of IBM’s Granite models. Our work enables and accelerates the entire data pipeline, from data clearance and acquisition to engineering. These data are used in pre-training, fine-tuning, instruction-tuning, orAG solutions powered by IBM Granite. We thrive in opensource innovation,esponsible use of data and, collaboration across disciplines, including backend engineering, data science, distributed computing,, among others.
Your Role and Responsibilities
This is for a 2025 summer internship with the following start dates: May – August or June – September for quarter system schools.
Your
- Conduct cutting-edge
r esearch on modelsLLM - Design and develop new architectures, algorithms, and approaches to improve language models.
- Collaborate with cross-functional teams (engineering, product) to integrate models into production systems.
- Publish
r esearch in top-tier conferences like NeurIPS, ICML, and ACL.
Required Technical and Professional Expertise
- Applicants should be enrolled in a Master’s or PhD in Computer Science,
, orMachine Learning r elated fields. - Expertise in
, deep learning, transformer architectures.NLP - Strong experience with PyTorch or TensorFlow.
- Proven
r ecord of publications in top ormachine learning AI conferences.
Preferred Technical and Professional Expertise
- Your areas of interest should include foundation models,
,machine learning AI ,natural language processing , data engineering, cloud computing, database management, and other computer science and engineering topics.
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