Job Summary
This job code is to be used for internships and co-ops. It is not to be used for temporary or contract workers.Job Description
Program Overview
The Comcast Cooperative Educational Program (Co-op) immerses students into the daily operations of a contemporary media and technology company while working side-by-side with Comcast’s top innovators. Designed for students whose curriculum allows for a cooperative learning track, the co-op becomes an integral part of the Comcast team working on creative, innovative, and thought-provoking projects within various business units. Throughout the experience, there is opportunity for exposure to mentorship and professional development while having some fun along the way.
Role Overview
In the Personalization and Content Discovery team, we work on cutting-edge research in AI and machine learning to re-invent the customer experience. Using the large amount of data available to us, we build machine learning models that can help our customers find the content they love. Our team is responsible for building machine learning models for recommendation, personalization, ranking, search, and information retrieval. We also work on the intersection of these areas to build a unique experience for our customers.
As a key member of our team, you will be participating in utilizing Machine Learning, NLP, or Information Retrieval systems to tackle exciting problems such as: recommendation systems, using reinforcement learning to optimize long-term engagement metrics, using transformer models in recommendation systems, building multimodal models, developing learning to rank algorithms, etc.
This position will be responsible for developing a scalable system that delivers state-of-the-art backend microservice technology to set top boxes and smart televisions throughout the world. The position invites exposure to developing enterprise-grade application servers and extensive work with highly available, fault-tolerant systems.
Co-op responsibilities include but are not limited to:
Developing new personalization APIs, machine learning models, and data pipelines
Building new infrastructure through code
Building new dashboards and writing documentation
Preferred Qualifications
Preferred Majors: Computer Science, Computer Engineering, Software Engineering, Data Science
Currently pursuing a bachelor’s degree from Drexel University, with a cooperative learning track.
Available to work 40 hours per week for 6 months starting September 23, 2024 through March 28, 2025.
Available to report in-person to the work location provided above.
3.0 minimum cumulative GPA preferred.
Authorized to work in the United States of America
Comcast is an Affirmative Action/EEO employer M/F/D/V
Compensation
Base Pay: $32.00Base 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)
Relative Work Experience
0-2 YearsComcast is proud to be 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.Jobs from our Partners
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