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

Role Description

As a Machine Learning Research Intern, you’ll work closely with senior researchers and engineers to develop novel models or improve existing ML-backed products. Your work will contribute to shaping the future of content discovery and personalization at Comcast. You’ll gain hands-on experience with large-scale datasets and production-grade systems, while contributing to both experimental prototypes and live services.

What are some interesting problems the student will work on?

- Generative Models for Ranking and Retrieval

- Conversational Recommendation

- Multi Objective Personalization and Ranking Models

Where can this student make an impact?

• Immersion in impactful ML projects in personalization and NLP, with direct production impact.
• Mentorship from experienced researchers and engineering leaders.
• A chance to contribute to internal research outputs and engage with high-performance ML systems.

Job Responsibilities

Responsibilities include but are not limited to:

• Conduct research in machine learning, focusing on advance personalization, recommendation systems, and NLP.
• Design, prototype, and evaluate ML models that deliver personalized recommendations across devices and services.
• Work with large-scale datasets, train, optimize, and fine-tune models using methods like collaborative filtering, hybrid models, deep learning and generative AI.
• Collaborate with data engineers, product managers, researchers, and engineers to integrate models into production systems.
• Present findings to stakeholders and contribute to research publications or presentations.

Preferred Skills

• Publications in top-tier ML/NLP venues.
• Experience working with transformer models.
• Familiarity with cloud or big-data platforms (Databricks, or AWS).
• Graduate student in mathematics, statistics, physics, computer science, or another highly quantitative field degree with strong research background.

• Advanced training and strong research track record in statistics, machine learning, AI, or another highly quantitative field
• Hands on programming experience in scripting (e.g. Python)
• A background demonstrating strong problem-solving skills
• An ability to communicate advanced concepts in a concise and logical way
• Proficiency in creating and using algorithms to meticulously investigate and work through large data or error-checking problems

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)

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

Compensation

Base Pay: $55.00

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 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. Comcast will consider for employment applicants with arrest or conviction records in accordance with the requirements of applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Please note that federal state, or local laws and regulations may restrict or prohibit Comcast from hiring individuals convicted of certain crimes. Additionally, an applicant’s criminal history may have a direct, adverse, and negative relationship on the job duties of this position, which may result in the withdrawal of a conditional offer of employment.