Machine Learning Graduate Research Intern

Comcast's Technology, Product & Experience organization works at the intersection of media and technology. Our innovative teams are continually developing and delivering products that transform the customer experience. From creating apps like TVGo to new features such as the Talking Guide on the X1 platform, we work every day to make a positive impact through innovation in the pursuit of building amazing products that are enjoyable, easy to use and accessible across all platforms. The team also develops and supports our evolving network architecture, including next-generation consumer systems and technologies, infrastructure and engineering, network integration and management tools, and technical standards. Because our employees are our most valuable asset, we offer a flexible working environment to balance the need to work independently wherever you choose, with days that require collaboration at one of our offices. Our roles primarily reside inside or around one of our Tech Hubs (Philadelphia and surrounding suburbs, Denver, Austin, Silicon Valley, Washington DC/N. Virginia).

Job Summary

Job Description

Are you interested in large-scale machine learning and deep learning that power smart experiences in millions of homes? If you are interested in these problems and have experience in at least one or more of the following areas - Deep Learning, Computer Vision, Audio Analytics - we're looking for you!

Comcast Applied AI & Discovery team has a graduate student intern position available during Summer 2023. We are an innovative research group within Comcast's Technology & Product organization with offices in Washington DC and Philadelphiathat does groundbreaking research to support the development of novel Artificial Intelligence and Machine Learning based products for Comcast's more than 30 million consumers.

Potential projects may focus on (but are not limited to):

• Object detection, activity recognition, and scene understanding in video

• Few-shot and self-supervised learning in images and video

• Person re-identification and face recognition

• Sound classification and keyword spotting in audio

• Synthetic speech/data generation for training audio WuW models

The expected output of an internship is a proof-of-concept implementation leading to a scientific publication and/or a patent application.

The ideal applicant should currently be enrolled in a university PhD program (strong MSc students are also welcomed to apply), with 2+ years research experience in one of the relevant areas and be able to obtain a work authorization in the US. Applicants should also have good programming and software development skills, and be comfortable working in an interdisciplinary, team-oriented, applied research environment.

We feature an informal, open atmosphere, and cultivate a start-up culture with the backing of a Fortune 50 company. To better serve our community, we believe the diversity of our team should reflect the diversity of our customers.

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, or any other basis protected by applicable law.

Relevant Work Experience

0-2 Years

Salary:

Base Pay: $55.00

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. 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 [Register to View] on our careers site for more details.