Comcast internships for Freshers 2023 | Machine Learning Intern

Comcast Off Campus Drive 2023 for Machine Learning Intern. Any Bachelor’s or Master’s degree can Apply for this position.

Comcast Recruitment Drive Details:

Job Summary :

Are you interested in large-scale machine learning and deep learning? Do you want to work with the billions of queries made with the most advanced voice remote for the TV or help us to reinvent customer service using machine learning? Create new entertainment experiences by analyzing huge multimedia content libraries and thousands of live TV channels? Build the foundation for the digital home by making sense of data from millions of smart cameras and IoT sensors or improve our customer service solutions using chat bots and reinforcement learning? If these difficult research problems excite you and you have experience in at least one or more of the following areas -Deep Learning, NLP, Speech Recognition/Audio Analytics, Computer Vision, Data Science, Recommendation Systems, and Reinforcement Learning, we’re looking for you! Comcast Applied AI & Discovery team is filling multiple graduate student intern positions for this summer (minimum of 12 weeks, May through September). We are an innovative research group within Comcast’s Technology & Product organization with offices in Washington DC, Sunnyvale CA, Philadelphia, Denver, Chicago and Chennai that 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 will focus on (but are not limited to): Multi-domain natural language understanding and conversational dialogue Machine learning to automatically recognize certain audio events as well as speech Bandit algorithms/reinforcement learning to optimize decision-making in the customer service domain and parameter selection for machine learning applications Object and activity recognition for home security using cameras and other IoT sensors Deep learning for the annotation, segmentation and recognition of broadcast videos and ads Personalized recommendations and search for TV Regular, Consistent and punctual attendance.

• Must be able to work nights and weekends, variable schedule(s) and overtime as necessary.
• Other duties and responsibilities as assigned.
• Applicants should also have good programming and software development skills, and be comfortable working in an interdisciplinary, team-oriented, applied research environment.
• The expected output of an internship is a proof-of-concept implementation leading to a scientific publication and/or a patent application.

Description:

• Comcast Applied AI & Discovery team is filling multiple graduate student intern positions for this summer in at least one or more of the following areas

1. 1. Deep Learning,
   2. NLP,
   3. Speech Recognition/Audio Analytics,
   4. Computer Vision,
   5. Data Science,
   6. Recommendation Systems,
   7. and Reinforcement Learning, we’re looking for you!

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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

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Comcast Compensation:

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.