Comcast AI Research Intern

Nitel • Philadelphia, PA

2d • $7 • Onsite

About The Position

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.
Your experience will include:
Hands-On Learning & Impactful Work: Tacklereal businesschallenges, 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:Participatein 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'recommitted 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.
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.
Are you interested in pushing the boundaries of AI and shaping the future of customer interactions? Are you eager to apply yourexpertiseto real-world problems? Do you thrive on challenges and aspire to make a tangible impact on customer experiences?
We are seeking aspiring machine learning engineers with research backgrounds to join our team in tackling applied challenges within the realm of training large language models, search, and recommendation systems. 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/or a scientific or patent publication.

Requirements

• 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
• 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 work40 hoursper week over the course of the summer program starting June 1, 2026, through August 14, 2026
• 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)

Nice To Haves

• Good programming and software development skills
• Comfortable working in an interdisciplinary, team-oriented, applied research environment.
• Preferred Majors:Computer Science

Responsibilities

• Develop algorithms for generating diverse and contextuallyappropriate recommendationsfor customers
• Investigate methods for integrating various exploration methods and theirimpactsinthe production system
• Explore approaches in off-policy evaluation to make improvements on offline benchmarks
• Explore various architectures and perform ablation studies for existing production models
• Develop data and training pipelines for new models
• Other duties and responsibilities as assigned.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Ph.D. or professional degree