Virtual Data Science Intern, Summer 2021

Job Description

The WarnerMedia Story
WarnerMedia is a leading media and entertainment company that creates and distributes premium and popular content from a diverse array of talented storytellers and journalists to global audiences through its consumer brands including: HBO, HBO Now, HBO Max, Warner Bros., TNT, TBS, truTV, CNN, DC Entertainment, New Line, Cartoon Network, Adult Swim, Turner Classic Movies and others.
The Job
Develop video labeling models to identify objects, individuals and scene breaks of interest. Work with human annotators to develop a rigorous precision measure and quality assurance process.

The Daily
Working through our internal ContentAI platform, you’ll identify high quality, labelled video samples, train computer vision and/or NLP models and confirm the accuracy of their outputs

The Essentials

• This role should be filled by someone finishing a degree in or having significant experience with Machine Learning, Artificial Intelligence (particularly with a focus on Computer Vision)
• This role requires programming competence sufficient to build these models without supervision using PyTorch, TensorFlow, etc

Internship Program

• Students must be currently enrolled in a college degree program for full duration of the internship
• Summer 2021 program dates are June 7th - August 13th; must be available for full program duration
• Full-time schedule (40 hours/week) designed to work around class schedule
• Fully remote/virtual experience; company owned laptop provided for the duration of the internship program
• Salary based on office location; relocation is not provided

The Perks

• Hands-on work with passionate, talented team members in your field
• Networking opportunities with industry-leading professionals
• Engaging events including executive speakers sessions, professional development workshops, and more
• Opportunity to join the WarnerMedia family of powerhouse brands

Warner Media, LLC and its subsidiaries are equal opportunity employers. Qualified candidates will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.