Paramount · 2 weeks ago
Machine Learning Engineer Intern (Summer 2026 - In Person- LA / NYC / SF)
Paramount is a leading global media and entertainment company that creates premium content and experiences for audiences worldwide. They are seeking a Machine Learning Engineering Intern to support their Applied Intelligence Group, focusing on improving user experience through scalable machine learning solutions and collaboration with various teams.
Digital EntertainmentEventsMedia and Entertainment
Responsibilities
Design and develop highly scalable and reliable machine learning solutions to improve user experience on a specific product feature
Design and testing a modeling solution or integration
Participate in design and code reviews
Qualification
Required
Internships are available to students who will be Seniors or Master's students in the fall of 2026
You must be available to intern full-time (5 days a week/36-40 hours a week) for 10 weeks total starting in June
Interns will be required to work fully on-site for the duration of the program
Applicants must be currently authorized to work in the United States on a full‑time basis
Employment eligibility to work with Paramount in the United States is required as the company does not engage in sponsorship for internships
Preferred
Current undergrad or master's student working to obtaining their degree in Software Engineering or Machine Learning Engineering or Applied Math at a university in the United States
Experience working with Python, Tensorflow, PyTorch, SQL and API work
Benefits
Speaker series with industry experts
Unique networking opportunities & social events
Complimentary Paramount+ subscription during your internship
Workshops on crafting your resume, nailing interviews and career strategy
1:1 mentorship, volunteer opportunities, on-the-job learning and so much more!
Company
Paramount
Paramount is a leading media and entertainment company that creates premium content and experiences for audiences worldwide. It is a sub-organization of Paramount Pictures.
Funding
Current Stage
Late StageRecent News
San Francisco Chronicle
2025-12-24
2025-12-22
Company data provided by crunchbase