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Graduate Intern, AI Technologies



1mo ago

Applications are closed

  • Internship
    Summer Internship
  • Software Engineering
  • Washington, DC


  • The ideal applicant should currently be enrolled in a university PhD program (strong MSc students are also welcome to apply), with 2+ years research experience in one of the relevant areas and be able to obtain a work authorization in the US. Applicants should also have good programming and software development skills, and be comfortable working in an interdisciplinary, team-oriented, applied research environment. The expected output of an internship is a proof-of-concept implementation leading to a scientific publication and/or a patent application.


  • Fine-tuning Conversational Models for various customer-related use cases.
  • Evaluate performance metrics like coherence, engagement, and satisfaction for refinement.
  • Design methodologies for high-quality data collection in Comcast's domain.
  • Explore synthetic data generation to address scarcity issues.
  • Investigate reinforcement learning with human feedback for model improvement.
  • Design reward mechanisms for contextually appropriate responses.
  • Implement active learning methods to select instances for human feedback and model training.
  • Investigate biases in conversational AI, particularly in customer interactions.
  • Implement rigorous procedures to identify and mitigate hallucination errors.

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