Job Information
IBM Research Scientist - Multimodal Models Intern: 2025 in Yorktown Heights, New York
Introduction
Are you interested in multimodal large language models (LLMs) that combine vision, speech, and language? Are you passionate about developing systems that make a real-world impact? Would you enjoy publishing your work in the most prestigious AI conferences in the world, and making your code open source? If you answered yes to these questions, then you should apply to our summer internship position at IBM. We are seeking highly motivated students with background in multimodal LLMs to join our team.
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.
As an intern, you will be responsible to conduct cutting-edge research and development on large language and multimodal models for exciting enterprise use cases. In this role, you are expected to develop high quality software to support novel AI model architectures, new techniques for cross-modal synthetic data generation, push the frontiers on vision and/or speech understanding, and develop novel approaches for aligning modalities to large language models, among other possible projects.
Required Technical and Professional Expertise
Candidates must be enrolled in a Master's or a PhD program
Hands-on experience with multimodal LLMs, computer vision, or speech processing
Solid knowledge of self-attention models such as Transformers, Conformers and statistical inference
Strong programming skills and knowledge about deep learning libraries
Great problem solving skills, with a strong desire for quality and engineering excellence
Preferred Technical and Professional Expertise
- Publications in top-tier AI conferences
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Location StatementSupplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law. The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. We consider qualified applicants with criminal histories, consistent with applicable law.
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