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 pushing the boundaries of conversational AI and shaping the future of customer interactions? Are you eager to apply your expertise in training large language models to real-world problems? Do you thrive on challenges and aspire to make a tangible impact on customer experiences? If you're passionate about driving real-world impact and thrive in a dynamic, collaborative environment and have experience in at least one or more of the following areas – Semantic Parsing for Natural Language Understanding (NLU), Aligning LLMs for task-oriented dialogue/Conversational Agents, Evaluation with and for LLMs – we invite you to bring your expertise to our team!
We are seeking a talented researcher to join our team in tackling applied challenges within the realm of training large language models and enhancing conversational AI. You will be part of a team focused on the development, training, and testing of large-scale models, emphasizing latency, quality, safety, and cost reduction.
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:
Develop algorithms for generating diverse and contextually appropriate dialogues to improve conversational agents.
Investigate methods for generating coherent multi-turn conversations to enhance the naturalness of conversational agents.
Create simulated evaluators or judges to provide feedback on conversational bot performance.
Develop ML methods to identify and collect high-quality training data for conversational agents.
Explore techniques for dynamically adapting data collection strategies based on model feedback and performance metrics.
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 NLP and/or Information Retrieval
Good programming and software development skills
Comfortable working in an interdisciplinary, team-oriented, applied research environment.
Preferred Majors: Computer Science
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)
Skills
Compensation
Base Pay: $58.00Base 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 YearsComcast 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.