Comcast's Technology, Product & Experience (TPX) organization needs to develop and deliver innovative products that transform the customer experience. The Personalization and Content Discovery team specifically aims to leverage AI and machine learning with large datasets to build models for recommendation, personalization, ranking, search, and information retrieval, ultimately helping customers find content they love and optimizing long-term engagement metrics.
Requirements
- Expert knowledge of Networking, Cloud, AWS, and microservice patterns
- Expert knowledge of networking protocols, including TCP/IP, HTTP, 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.
- Experience with Databricks, Spark, ETL, and/or Data Pipelines.
Responsibilities
- developing a scalable system that delivers state-of-the-art backend microservice technology to set top boxes and smart televisions throughout the world.
- expert knowledge of developing enterprise-grade application servers
- extensive work with highly available, fault-tolerant systems.
- 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.
- building machine learning models that can help our customers find the content they love.
- responsible for building machine learning models for recommendation, personalization, ranking, search, and information retrieval.
- work on the intersection of these areas to build a unique experience for our customers.
Other
- Currently pursuing a bachelor’s degree from a United States-based college or university
- Rising Junior or Rising Senior only (must have a graduation date between 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
