Introduction
The Exploratory Computer Sciences program at IBM Research is seeking candidates who will contribute to foundational research topics in AI. Start and end dates for this Internship are during Summer 2025 (3 months) at IBM Research in Yorktown Heights, New York. At IBM Research, we invent things that matter to the world. Today, we are pioneering the most promising and disruptive technologies that will transform industries and society, including the future of Hybrid Cloud and AI. And looking to the horizon, we are placing big bets on a pipeline of ambitious exploratory science breakthroughs which will be foundational for the future of computing. With more than 3,000 researchers in 12 labs located across six continents, IBM Research is one of the world's largest and most influential corporate research labs.
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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.
IBM research interns are expected to develop innovative ideas and concepts (theoretical or experimental) while performing advanced scientific or engineering tasks resulting in highly complex, original and creative scientific or engineering achievements.
As an IBM Exploratory Computer Science intern, you will work closely with an assigned mentor on a project researching AI reasoning. This project may involve implementing AI architectures that can reason, and/or defining and running experiments on AI reasoning using existing AI architectures. You will also be expected to write a research report or paper on the research done during your internship, and present your work at internal research meetings and external workshops and/or conferences.
Required Technical and Professional Expertise
Candidates should be active graduate students that match well with the following:
- Applicants should be PhD & MS students pursuing graduate studies.
- Coursework in AI/ML/CS such as AI architectures, foundation models, decision support, reasoning, reinforcement learning, multi-agent systems.
- A track record of co-authoring technical reports and publications.
- Strong programming skills and the ability to program in Python to implement methods for AI.
- Experience in conducting AI experiments and interpreting the results.
- Experience with machine learning environments.
- Strong communication skills.
Preferred Technical and Professional Expertise
- Experience with open-source contributions.
- Experience in doing software development as part of a research and development team.