New York, NY 10019, Remote
November 30, 2021
Apply NowJob description
Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from ViacomCBS, combines live sports, breaking news, and a mountain of entertainment. The premium streaming service features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including BET, CBS, Comedy Central, MTV, Nickelodeon, Paramount Pictures and the Smithsonian Channel. The service is also the streaming home to unmatched sports programming, including every CBS Sports event, from golf to football to basketball and more, plus exclusive streaming rights for major sports properties, including some of the world’s biggest and most popular soccer leagues. Paramount+ also enables subscribers to stream local CBS stations live across the U.S. in addition to the ability to stream ViacomCBS Streaming’s other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage.
Brand/Division Overview:
The Applied Machine Learning Group within ViacomCBS Streaming’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 efficiency and the overall user experience on Paramount+. Use 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 essential 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.
Personalized hierarchical recommendations across content and collections
Improve existing personalization models with new features
Expand international personalization capabilities
Design and run experiments on model variants that improve product important metrics
Qualifications:
You have -
MA/MS in Statistics/Data Science/Computer Science or related quantitative subject areas 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/FastAPI) is preferred
Experience with Recommendation Systems and Personalization in consumer applications
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)
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)
#LI-AW3
#LI-Remote
ViacomCBS is an equal opportunity employer (EOE) including disability/vet.
At ViacomCBS, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. ViacomCBS is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access. https://www.viacomcbs.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to [email protected]. Only messages left for this purpose will be returned.
Brand/Division Overview:
The Applied Machine Learning Group within ViacomCBS Streaming’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 efficiency and the overall user experience on Paramount+. Use 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 essential 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.
Personalized hierarchical recommendations across content and collections
Improve existing personalization models with new features
Expand international personalization capabilities
Design and run experiments on model variants that improve product important metrics
Qualifications:
You have -
MA/MS in Statistics/Data Science/Computer Science or related quantitative subject areas 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/FastAPI) is preferred
Experience with Recommendation Systems and Personalization in consumer applications
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)
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)
#LI-AW3
#LI-Remote
ViacomCBS is an equal opportunity employer (EOE) including disability/vet.
At ViacomCBS, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. ViacomCBS is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access. https://www.viacomcbs.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to [email protected]. Only messages left for this purpose will be returned.
