Comcast ML/Data Science Engineering Graduate Intern

Xumo, a joint venture between Comcast and Charter Communications, was formed to develop and offer a next-generation streaming platform for the entire entertainment industry. The company consists of three primary lines of business: Xumo devices, Xumo Play, and Xumo Enterprise. Powered by Comcast's global entertainment platform, Xumo devices feature a world-class user interface with universal voice search capabilities, making it easy for consumers to find and enjoy their favorite streaming content. Xumo Play is a free ad-supported streaming TV (FAST) service offering hundreds of linear channels and on-demand options. Xumo Enterprise provides tools and services for content creators, distributors, and advertisers to make FAST content more accessible.
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
Xumo, a joint venture between Comcast and Charter, was formed to develop and offer a next-generation streaming platform on a variety of branded 4K streaming devices and smart TVs. Powered by Comcast's global technology platform, Xumo devices and services feature an entertainment experience designed to make it easy for consumers to find and enjoy their favorite streaming content through a world-class user interface and voice search, and for partners to meaningfully connect and engage with millions of consumers.
Our engineering team develop our free ad-supported service that currently delivers more than 200 unique streaming channels and features hundreds of free content choices on our own Xumo platform as well as leading streaming platforms such as YouTube, Amazon, Apple, Google, Roku and smart TV manufacturers such as Samsung, Vizio, LG, Sony.
Role Description
Are you passionate about machine learning, large scale data, and building real-world systems that improve user experiences for millions? Do you want to work at the intersection of entertainment, streaming media, and AI?
As a Graduate ML/Data Science Engineering Intern, you will help analyze, design, and build innovative ML models and data pipelines that directly shape Xumo's products. You'll work on projects that turn data into actionable business insights and smarter product features, from recommendation systems and content personalization to analyzing video streaming performance for better quality of experience. You'll collaborate with cross-functional teams and gain exposure to the streaming technology.
What You'll Work On

• Analyzing Xumo's video streaming performance and user engagement data to identify opportunities for improving user experience and business outcomes.

• Prototyping and evaluating recommendation algorithms to help users discover content they love.

• Designing experiments and A/B tests to measure the impact of new features and ML models.

• Creating dashboards and data visualizations that provide insights to product managers and business leaders.

• Working closely with engineers to productionize your work and measure real-world impact.

Job Responsibilities
Responsibilities include but are not limited to:

• Collaborate with engineers and data scientists to identify and scope impactful ML/data science projects.

• Research, prototype, and implement ML models or data pipelines for content recommendation, personalization, or video performance optimization.

• Analyze large-scale user engagement and streaming performance data to extract actionable insights.

• Design and execute A/B tests and experiments to validate new product features or ML algorithms.

• Present findings and recommendations to both technical and non-technical stakeholders.

• Participate in code and design reviews; contribute to documentation and best practices.

• Other duties and responsibilities as assigned.

Preferred Skills

• Proficiency in Python and SQL for data analysis, modeling, and scripting.

• Experience with ML frameworks such as scikit-learn, TensorFlow, PyTorch, or similar.

• Understanding of recommender systems, supervised/unsupervised learning, and NLP techniques.

• Familiarity with cloud computing platforms .

• Previous experience with Google Cloud Platform (GCP).

• Experience designing, running, and interpreting A/B tests or experiments.

• Strong communication skills, comfortable presenting technical findings to diverse audiences.

• Self starter: able to independently research, learn, and implement new techniques.

• Preferred Majors: Computer Science, Data Science, Statistics, or Applied Mathematics.

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 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 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.
Skills:
Relationship Building; Professional Etiquette; Accountability; Teamwork; Resilience; Communication
Salary:
Base Pay: $53.00
The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.
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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