Comcast Machine Learning Co-op

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

Program Overview

Comcast’s Drexel Co-op Program offers an exciting opportunity to gain hands-on experience, build lasting connections, and grow professionally in a dynamic and inclusive environment. This paid, 6-month immersive experience places students at the heart of our business, working alongside talented professionals on meaningful projects that contribute to real outcomes. As a trusted member of the team, you’ll gain exposure to the inner workings of a global media and technology company while developing skills that will serve you well in any career path.

Job Description

Your experience will include :

• Hands-On Learning & Impactful Work : Tackle real business challenges, collaborate across teams, and contribute ideas that drive results from day one.
• Community, Connection & Giving Back : Build meaningful relationships through social events, peer engagement, and shared experiences. You’ll also have the opportunity to give back through Team UP, Comcast’s volunteer initiative, deepening your connection to both your community and your fellow students.
• Mentorship & Support : Receive guidance from experienced professionals through our dedicated mentorship program, helping you navigate your co-op and beyond.
• Professional Development : Participate in a custom onboarding experience, a curated learning series, and networking events designed to help you build new skills, explore career paths, and gain insights from professionals from across the organization.

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

Comcast 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.

Skills :

Relationship Building; Professional Etiquette; Accountability; Teamwork; Communication; Resilience

Salary : Base Pay : $32.00

The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.

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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.

Relevant Work Experience

0-2 Years