ViacomCBS Summer 2020 Machine Learning Intern in San Francisco, California
CBS BUSINESS UNIT: CBS Interactive
JOB TYPE: Paid Intern
JOB LOCATION: San Francisco, CA
CBS Interactive is the premier online content network for information and online operations of ViacomCBS as well as some of the top native digital brands in the entertainment industry. Our brands dive deep into the things people care about across entertainment, technology, news, games, business and sports. With over 1 billion users visiting our properties every quarter, we are a global top 10 web property and one of the largest premium content networks online.
Check us out on  The Muse,  Instagram and  YouTube for an inside look into 'Life At CBSi' through employee testimonials, office photos and company updates.
CBS Interactive seeks a machine learning intern for online television and media focused web properties. In this role, you will support infrastructure and platforms that serve our customers. We have diverse infrastructure that spans Windows and Linux servers in the cloud.
As part of our cloud journey we are collecting a lot of data and building tools for helping out the various businesses within CBSi. This role is to build a machine learning tool that would help with processing that data and gives us more learnings about our environment.
Work cross-functionally with finance and other groups to define requirements
Work with leaders within the team and outside the team to build contextual patterns out of the data
Design and develop machine learning solutions that are automated
Time commitment: full-time, 40 hours per week.
This is a paid internship and can also be for university credit if it meets your university's guidelines
What you bring to the team:
You have -
Experience in python
Working knowledge of cloud native ML tools like SageMaker or TensorFlow
Understanding of AWS or GCP
Intern must be a student currently enrolled in an accredited college, university or bootcamp
Must be at least 18 years old
You might also have -
- Prior experience building ML solutions
Equal Opportunity Employer Minorities/Women/Veterans/Disabled