New York, NY
Overview and Responsibilities:
The Applied Machine Learning Group within CBS Interactive's Advanced Technologies division focuses on deploying machine learning techniques to improve products.
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. Does this sound like you?
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
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.
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
Experience with Recommendation Systems in consumer applications
Communicate concisely and persuasively with engineers and product managers
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)
ViacomCBS is an equal opportunity employer (EOE) including disability/vet.
Jobcode: Reference SBJ-r1ojxv-35-170-64-36-42 in your application.