Comcast Python – ML Service Engineer Co-op

at  Comcast Corporation

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

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

Comcast 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.

RELEVANT WORK EXPERIENCE

0-2 Year

• Developing new personalization APIs, machine learning models, and data pipelines
• Building new infrastructure through code
• Building new dashboards and writing documentatio