Comcast Graduate Research Intern

PA - Philadelphia, 1800 Arch St

Comcast

Comcast NBCUniversal creates incredible technology and entertainment that connects millions of people to the moments and experiences that matter most.

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Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary

This job code is to be used for internships and co-ops. It is not to be used for temporary or contract workers.

Job Description

Program Overview

Discover opportunities designed to set your career in motion! The Comcast internship/co-op program will help you cultivate meaningful relationships, develop strong interpersonal and business skills, gain exposure to the day-to-day operations of a Fortune 40 media and technology company, and receive mentorship opportunities to expand your professional network.

This program immerses students into the daily operation of a contemporary media and technology company while working side-by-side with Comcast’s top innovators. The student becomes an integral part of the Comcast team working on creative, innovative, and thought-provoking projects within various business units.

Organization & Team Overview

Are you interested in large-scale machine learning and deep learning that power smart experiences in millions of homes? If you are interested in these problems and have experience in at least one or more of the following areas – Deep Learning, NLP, Reinforcement Learning – we’re looking for you!

Comcast Applied AI & Discovery team has a graduate student intern position available during Summer 2025. We are an innovative research group within Comcast’s Technology & Product organization with offices in Washington DC and Philadelphia that does groundbreaking research to support the development of novel Artificial Intelligence and Machine Learning based products for Comcast’s more than 30 million consumers.

Role Description

Potential projects may focus on (but are not limited to):

  • NLU and NLG for Customer Experience, both in the assisted and self-service areas
  • Few-shot and self-supervised learning applied to text
  • Personalizing recommendations for customers in the Xfinity Assistant and other channels
  • Synthetic speech/data generation for training audio models

The expected output of an internship is a proof-of-concept implementation leading to a scientific publication and/or a patent application.

The ideal applicant should currently be enrolled in a university PhD program (strong MSc students are also welcomed 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.

We feature an informal, open atmosphere, and cultivate a start-up culture with the backing of a Fortune 50 company. To better serve our community, we believe the diversity of our team should reflect the diversity of our customers.

Core Responsibilities

Potential responsibilities to focus on (but are not limited to):

  • Develop algorithms for generating diverse and contextually appropriate dialogues to improve conversational AI systems.
  • Investigate methods for generating coherent multi-turn conversations to enhance the naturalness of conversational AI.
  • Create simulated evaluators or judges to provide feedback on conversational bot performance.
  • Develop active learning strategies to identify and collect high-quality training data for conversational AI models.
  • Explore techniques for dynamically adapting data collection strategies based on model feedback and performance metrics.

Minimum Qualifications and Eligibility Requirements

  • Currently be enrolled in a university PhD program (strong MSc students are also welcomed to apply)
  • 2+ years research experience in one of the relevant areas and be able to obtain a work authorization in the US
  • Available to work 40 hours per week over the course of the summer program- June 2 through August 15, 2025
  • Available to report in-person to the work location on the job posting (unless virtual offering)
  • Comcast is an Affirmative Action/EEO employer M/F/D/V

Preferred Skills

  • Deep expertise in Machine Learning and AI algorithms  with a focus on NLP, LLM and Generative AI
  • Python (preferred), R or other programming language expertise

Employees at all levels are expected to:

  • Understand our Operating Principles; make them the guidelines for how you do your job.
  • Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
  • Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products, and services, especially our digital tools and experiences.
  • Win as a team - make big things happen by working together and being open to new ideas.
  • Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs, and helping us elevate opportunities to do better for our customers.
  • Drive results and growth.
  • Respect and promote inclusion & diversity.
  • Do what's right for each other, our customers, investors, and our communities.

Disclaimer:

  • This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Comcast is an EOE/Veterans/Disabled/LGBT employer.

Compensation

Base Pay: $55.00

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work.    Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus.  Additionally, Comcast provides best-in-class Benefits to eligible employees.  We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most.  That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. 

The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.

Education

Certifications (if applicable)

Relative Work Experience

0-2 Years

Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.
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Category: Research Jobs

Tags: Conversational AI CX Deep Learning Generative AI LLMs Machine Learning NLG NLP NLU PhD Python R Reinforcement Learning Research

Perks/benefits: Career development Flex hours Salary bonus Startup environment

Region: North America
Country: United States

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