Comcast AI Research Intern

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

Comcast’s Summer Internship Program offers an exciting opportunity to gain hands-on experience, build lasting connections, and grow professionally in a dynamic and inclusive environment. This paid, 11-week immersive experience places interns at the heart of our business, working alongside talented professionals on meaningful projects that contribute to real outcomes. As a trusted member of the team, you’ll gain exposure to the inner workings of a global media and technology company while developing skills that will serve you well in any career path.

Job Description

Your experience will include:

• Hands-On Learning & Impactful Work: Tackle real business challenges, collaborate across teams, and contribute ideas that drive results from day one.

• Community, Connection & Giving Back: Build meaningful relationships through social events, peer engagement, and shared experiences. You’ll also have the opportunity to give back through Team UP, Comcast’s volunteer initiative, deepening your connection to both your community and your fellow interns.

• Mentorship & Support: Receive guidance from experienced professionals through our dedicated mentorship program, helping you navigate your internship and beyond.

• Professional Development: Participate in a custom onboarding experience, a curated learning series, and networking events designed to help you build new skills, explore career paths, and gain insights from professionals from across the organization.

At Comcast, we’re committed to investing in the next generation of innovators and leaders. Our Summer Internship Program is a transformative experience designed to help you grow, connect, and take the next step in your professional journey.

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, Multimodal Understanding, 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, Diffusion Models

• Deep learning for annotation, segmentation, and recognition of video and any other multimedia content

• Multi-modal detection of semantically meaningful events in video, such as emotion

• Applying Large Language Models (LLMs) and Foundation Models (FMs) to multimodal analysis tasks

• Machine learning optimization and pipeline development

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 multimodal analysis (text, 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

• Currently enrolled in a graduate program in a relevant field at a U.S.-based college or university, with a strong academic record.  

• Rising second year Master’s or PhD student preferred (graduating Winter 2026–Spring 2028).  

• 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 2026 semester before graduating)   

• Available to work 40 hours per week over the course of the summer program starting June 1, 2026, through August 14, 2026

• Authorized to work in the United States

• Available to report in-person to the work location on the job posting (unless virtual offering) 

Accountability, Communication, Professional Etiquette, Relationship Building, Resilience, Teamwork

Compensation

Base Pay: $17.95

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)

Relevant Work Experience

0-2 Years

Comcast is 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.