Machine Learning Engineer

Job Description

DESCRIPTION:

Division Overview:

The Applied Machine Learning Group within CBS Interactive's Advanced Technologies division focuses on deploying machine learning techniques to improve 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. Take ownership of machine learning products from conception through delivery and monitoring.

Your Day-to-Day:
• Design and develop highly scalable and reliable machine learning solutions to improve user experience.
• Overcome engineering challenges with deploying machine learning solutions at scale
• 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 design and code reviews
• Effective communication is critical as this is a distributed team

Key Projects:
• Pioneer new product ideas for how machine learning can improve products and take ownership from inception through implementation.
• Deliver recommendations across CBS platforms serving millions of customers daily.
• Work on state-of-the-art video solutions applying machine learning to both live streaming video and VOD.
• Curate our content platform to design and develop sophisticated products to collect, transform and enrich data in a fast, scalable and reliable way for ourselves and our customers.

QUALIFICATIONS:

What you bring to the team:

You have -
• MA/MS in Statistics/Data Science/Computer Science or related quantitative disciplines with specialization in data mining or machine learning techniques
• Knowledge of both supervised and unsupervised machine learning techniques
• Have full stack experience in data collection, aggregation, analysis, visualization, productionalization, and monitoring of data science products
• 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

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: Data and Research

Jobcode: Reference SBJ-gwx66y-18-224-32-86-42 in your application.