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
Comcast AI Technologies team is an innovative research group within Comcast's Technology & Product organization with offices in Washington DC and Philadelphia. We do groundbreaking research to support the development of novel Artificial Intelligence and Machine Learning based products for Comcast's millions of consumers.
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.
Role Description
Are you interested in large-scale machine learning and deep learning? Do you want to create new entertainment experiences by analyzing huge multimedia content libraries and thousands of live TV channels? If these difficult research problems excite you and you have experience in at least one or more of the following areas - Deep Learning, Computer Vision (including object detection, image classification, activity recognition, and more), Large Language/Multimodal Models, Speech recognition and synthesis, and Audio Analysis - we are looking for you!
As an intern within our AI Technologies organization, you will perform research on a project area to further our business objectives. Our work focuses on the analysis of multimedia (audio/video) content, and projects primarily involve the following domain areas:
Object detection, activity recognition, optical character recognition, tagging, etc. in video
Natural language processing for topic extraction, summarization, and more
Speech recognition and/or Text-to-speech
Deep learning for annotation, segmentation, and recognition of entertainment video content (TV, movies, ads)
Multi-modal detection of semantically meaningful events in video, such as emotion
Applying Large Language Models (LLMs) and Foundation Models (FMs) to multimedia analysis tasks
The expected output of an internship is a proof-of-concept implementation leading to both impactful production-level deployments and a scientific publication and/or a patent application.
Job Responsibilities
Responsibilities include but are not limited to:
Perform preliminary research given a problem statement to understand the state of the art
Adapt and execute open-source models for use within our processing framework
Prototype improvements or extensions to existing models and software based on research conclusions
Produce high quality, well-documented code
Summarize work effectively and provide periodic updates on progress to leadership and teammates
Conduct research tasks independently after receiving guidance and direction from leadership
Other duties and responsibilities as assigned.
Preferred Skills
Enrolled in a university PhD program (strong MSc students are also welcome to apply), with 2+ years research experience in Machine Learning with a multimedia (image, audio, etc.) focus
Good programming and software development skills
Comfortable working in an interdisciplinary, team-oriented, applied research environment.
Preferred Majors: Computer Science, Electrical Engineering
Minimum Qualifications and Eligibility Requirements
Returning to degree-program (for at least a semester) after the completion of the summer internship (meaning, student must be returning to school for Fall 2025 semester before graduating)
Available to work 40 hours per week over the course of the summer program- June 2 through August 15, 2025
Authorized to work in the United States with no current or future sponsorship needs
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
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. Comcast will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law, including the Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance.
Salary:
Base Pay: $55.00
The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.
The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.
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.
Relevant Work Experience
0-2 Years
