Senior Scientist Content Science
Pandora Media, Inc.
Expiry Date :
Tue, 15 Jun 2021 23:59:59 GMT
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Description SiriusXM and Pandora have joined together to create the leading audio entertainment company in the U.S. Together, we are uniquely positioned to lead a new era of audio entertainment by delivering the most compelling subscription and ad-supported audio experiences to millions of listeners — in the car, at home and on the go. Our talent, content, technology and innovation continue to be at the forefront, and we want you to be a part of it! Check out our current openings below and at Position Summary: SiriusXM + Pandora have joined together to create the world’s largest audio entertainment company. Together, we are uniquely positioned to lead a new era of audio entertainment by delivering the most compelling subscription and ad-supported audio experiences to millions of listeners — in the car, at home and on the go. Our talent, content, technology and innovation continue to be at the forefront, and we want you to be a part of it! As a Content Scientist, you will be building products and services to identify, organize, and recommend music and non-music content to hundreds of millions of Pandora and SiriusXM listeners at scale. You will join a team of scientists with diverse expertise in machine learning, statistics, natural language understanding, and recommendation systems. For this special role, we are looking for a senior machine learning scientist who shares our enthusiasm for music and talk content and will develop cutting edge solutions using techniques from natural language understanding, information extraction, graph mining, etc. to manage and scale content systems & services that are foundational to providing delightful audio experiences to 100MM+ listeners. Duties and Responsibilities: Propose, research, and develop machine learning systems to operate SiriusXM and Pandora’s catalog systems at scale. Build production data pipelines and models, and review methods and code of other scientists. Design and analyze experiments to validate scientific hypotheses Partner closely with cross-functional teams like Product, Engineering, and Analytics. Present scientific findings to technical and non-technical audiences Supervisory Responsibilities: None Minimum Qualifications: Masters degree in a quantitative field like Computer Science, Statistics, Physics, etc. 2+ years of industry experience developing and implementing machine learning algorithms Expertise in natural language processing/understanding, information extraction, or graph modeling Requirements and General Skills: Demonstrated expertise in natural language processing/understanding, information extraction, and/or graph modeling Demonstrated ability to design, prototype, and implement machine learning solutions in production environments Demonstrated ability to collaborate cross-functionally with Product, Engineering, and Analytics Excellent verbal and written communication skills Must have legal right to work in the U.S. Technical Skills: Proficiency in Python, Scala or Java Experience using machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, etc Proficiency in Hive and SQL databases Familiarity with software development tools and processes Bonus Skills: PhD in a quantitative field (Computer Science, Statistics, Physics, etc) Expertise in deep learning techniques for natural language processing Track record of research publications Experience using Google Cloud Platform More details about our company benefits can be found at the following link here. #benefits Our goal at SiriusXM+Pandora is to provide and maintain a work environment that fosters mutual respect, professionalism and cooperation. SiriusXM+Pandora is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, alienage or citizenship status, age, disability or handicap, sex, gender identity, marital status, familial status, veteran status, sexual orientation or any other characteristic protected by applicable federal, state or local laws. The requirements and duties described above may be modified or waived by the Company in its sole discretion without notice.