Summer Intern - Machine Learning

Job Description

DESCRIPTION:

Division Overview:

The Applied Machine Learning Group within CBS Interactive's Advanced Technologies division focuses on building and scaling machine learning systems for direct-to-consumer products.

Role Details:

Interest in applying machine learning e.g, supervised methods like SVMs, random forests, deep learning & reinforcement learning, to existing products and services to improve their effectiveness and the overall user experience across our digital properties. Leverage datasets like traffic/video/ consumption data from Adobe Analytics, purchase/subscription data, and third-party data sources, to model, analyze and predict user behavior. Interest in machine learning products from conception through delivery and monitoring.

Your Day-to-Day:
• Develop highly-scalable and reliable machine learning solutions to improve user experience.
• Investigate new ways machine learning can improve products and determine viability of solutions
• Keep up with machine learning research and commercial product offerings across a wide variety of machine learning fields including NLP, recommendations, image and video.
• Participate in code reviews
• Effective communication is critical as this is a distributed team

Logistics:
• This is a paid internship and can also be for university credit if it meets your university's guidelines
• Full-time, 40 hours per week

QUALIFICATIONS:

What you bring to the team:

You have -
• Knowledge of supervised and unsupervised machine learning techniques
• Have experience in data collection, aggregation, analysis, visualization, and modeling for data science projects
• Proficiency in Python and associated machine learning packages is a must (tensorflow preferred), experience with a Python web framework (Django/Flask) is preferred
• Communicate concisely and persuasively with engineers and product managers
• Must be at least 18 years old
• Intern must be a student currently enrolled in an accredited college, university or bootcamp

You might also have -
• Experience with Tensorflow Extended (TFX), KubeFlow and related tools
• Experience using project management tools like those from Atlassian (JIRA, Confluence)
• Familiarity with version control systems (Git and Bitbucket)
• Experience using Google Cloud Platform (BigQuery, ML Engine, and APIs)
• Background in NLP or text mining techniques is a plus
• Background in deep learning is a plus
• Familiarity with Kubernetes and cloud deployments
• Experience with elasticsearch
• Desire to contribute to the open-source community (i.e., blogs, source code, etc)

FUNCTION: Interns

Jobcode: Reference SBJ-g36575-18-221-53-209-42 in your application.