Summer 2020 Machine Learning Intern

Apply
Ref#: 36034
CBS Business Unit: CBS Interactive
Job Type: Paid Intern
Job Location: San Francisco, CA, US

About Us:
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.
Description:

Division Overview:

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. 


Role Details:

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.


Your Day-to-Day:

  • 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


Logistics
  • 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
Qualifications:

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

EEO Statement:
Equal Opportunity Employer Minorities/Women/Veterans/Disabled
< Back to job list