Posted:
10/23/2025, 2:03:06 PM
Location(s):
Pennsylvania, United States ⋅ Philadelphia, Pennsylvania, United States
Experience Level(s):
Internship
Field(s):
AI & Machine Learning
Workplace Type:
Hybrid
Job Summary
Program OverviewJob Description
Your experience will include:
At Comcast, we’re committed to investing in the next generation of innovators and leaders. Our Co-op Program is a transformative experience designed to help you grow, connect, and take the next step in your professional journey.
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 using your expertise in Machine Learning, NLP, or Information Retrieval 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.
Co-op responsibilities include but are not limited to:
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 requires expert knowledge of developing enterprise-grade application servers and extensive work with highly available, fault-tolerant systems.
Preferred Qualifications
BS/BA in computer science or related field
Expert knowledge of Networking, Cloud, AWS, and microservice patterns
Expert knowledge of networking protocols, including TCP/IP, HTTP and WebSockets, REST
Demonstrated experience in observability, monitoring such as ELK.
Experience developing highly redundant, fault-tolerant applications.
Experience developing for a Linux environment.
Demonstrated proficient experience with Python.
Some experience with Databricks, Spark, ETL, and/or Data Pipelines.
Some experience with infrastructure automation tools such as Jenkins, Terraform, or Ansible.
Some experience with AWS Services.
Some experience with Kubernetes.
Some experiences with TensorFlow a plus.
Minimum Qualifications and Eligibility Requirements
Skills
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)
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.Website: http://corporate.comcast.com/
Headquarter Location: Philadelphia, Pennsylvania, United States
Employee Count: 10001+
Year Founded: 1963
IPO Status: Public
Last Funding Type: Grant
Industries: Internet ⋅ Telecommunications ⋅ TV ⋅ Video ⋅ Web Hosting