Comcast Software Engineer Intern

PA - Philadelphia, 1800 Arch St

Comcast

Comcast NBCUniversal creates incredible technology and entertainment that connects millions of people to the moments and experiences that matter most.

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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  

Discover opportunities designed to set your career in motion! The Comcast internship/co-op program will help you cultivate meaningful relationships, develop strong interpersonal and business skills, gain exposure to the day-to-day operations of a Fortune 40 media and technology company, and receive mentorship opportunities to expand your professional network.  

This program immerses students into the daily operation of a contemporary media and technology company while working side-by-side with Comcast’s top innovators. The student becomes an integral part of the Comcast team working on creative, innovative, and thought-provoking projects within various business units. 

Organization & Team Overview 

Comcast’s Technology, Product & Experience (TPX) organization works at the intersection of media and technology. Our innovative teams are continually developing and delivering products that transform the customer experience.  

Role Description 

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. 

Job Responsibilities 

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 Skills 

  • 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, 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.  

  • Preferred Majors: Computer Science or related fields 

Compensation

Base Pay: $32.00

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)

Relative Work Experience

0-2 Years

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.
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Category: Engineering Jobs

Tags: Ansible AWS Computer Science CX Databricks Data pipelines ELK ETL Jenkins Kubernetes Linux Machine Learning ML models NLP Pipelines Python Reinforcement Learning Research Spark TensorFlow Terraform

Perks/benefits: Career development

Region: North America
Country: United States

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