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FM- Sequential Decision Making & Efficient Goal Driven Behavior Intern

AT IBM
IBM

FM- Sequential Decision Making & Efficient Goal Driven Behavior Intern

Albany, NY

Introduction
IBM Research Scientists are charting the future of Artificial Intelligence, creating breakthroughs in quantum computing, discovering how blockchain will reshape the enterprise, and much more. Join a team that is dedicated to applying science to some of today's most complex challenges, whether it's discovering a new way for doctors to help patients, teaming with environmentalists to clean up our waterways or enabling retailers to personalize customer service.

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.

We are broadly interested in making foundation models (FMs) effective for sequential decision making in a range of tasks, particularly those related to efficient agents and their goal driven behavior. We are looking for interns with the following areas of interest:

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Planning/action model elicitation, search components code elicitation (e.g., search guidance or search pruning components), solutions or models validation/verification, reasoning about action and change, planning for data.

Tasks of interest include:

  • Using foundation models for deriving implicit information from textual description.
  • Using foundation models to improve planning: before/during/after search.
  • Using foundation models for validation/verification of solutions or planning models.
  • Reasoning about action and change: efficient goal driven behavior. Pinpoint and tackle the difficulties in producing correct behavior efficiently.
  • Planning for query decomposition, thoughts generation and evaluation.

Required Technical and Professional Expertise

  • Applicants should be PhD & MS students pursuing graduate studies in computer science or related fields.
  • Having at least one main author research publication at a top conference in AI.

Preferred Technical and Professional Expertise

  • Familiarity and working expertise with large language models.
  • Familiarity with logic such as description logic/first order logic.
  • Familiarity with AI Planning and heuristic search.

Client-provided location(s): Albany, NY, USA; San Jose, CA, USA; Cambridge, MA, USA; Yorktown Heights, NY 10598, USA
Job ID: IBM-21097302
Employment Type: Intern

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