Machine Learning Engineer Intern (summer 2026 - In Person - LA / NYC / SF)

Summer Internship Program

College students kickstart your career at the heart of culture and conversation with entertainment's most iconic brands! Our Summer Internship Program is a paid, immersive 10-week experience designed to help you explore career paths while bringing your passions and fresh perspectives to work. This well-rounded program not only offers hands-on learning but also serves as a pipeline for future opportunities. Exciting perks tailored just for you! 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!

Paramount Streaming is seeking a Machine Learning Engineering Intern to support our Applied Intelligence Group. The Applied Intelligence Group (AIG) is responsible for the future state Engagement Engine which includes supporting personalization and search across Paramount+ and Pluto TV. The AIG team builds and delivers online and offline personalization as well as smart video solutions. We work closely with our fellow backend engineering teams, data teams, programming and curation, product and marketing. Our work has a direct impact on the consumer experience. We work on productionalizing state of the art ML systems to support experiences on our streaming platforms.

- Approx 50% Design and develop highly scalable and reliable machine learning solutions to improve user experience on a specific product feature

- Approx 20% Design and testing a modeling solution or integration

- Approx 30% Participate in design and code reviews

Effective communication is critical as this is a distributed team

Preferred Majors

- Current undergrad or master's student working to obtain 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.

Eligibility

Internships are available to students who will be Seniors or Masters students in the fall of 2026. If you are a graduating Senior, please check our website for full-time job opportunities. 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. Note: Paramount does not provide financial relocation support or housing stipends. Internships are paid at a competitive standard hourly rate (school credit is optional). Applicants must be currently authorized to work in the United States on a fulltime basis. Employment eligibility to work with Paramount in the United States is required as the company does not engage in sponsorship for internships.

Deadline To Apply

January 31st 2026

Paramount is an equal opportunity employer (EOE) including disability/vet. At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.