Lead Machine Learning Scientist, Recommendations at Pandora

Company: SiriusXM
Location: Oakland
Posted on: November 22, 2021

Job Description:

Lead Machine Learning Scientist, Recommendations at Pandora (R-2021-06-52) 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-- www.siriusxm.com/careers . 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 scientist in the Content Science team, 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 staff machine learning scientist who shares our enthusiasm for music and talk content and will develop cutting edge solutions to create and personalize unique creator-fan experiences and help creators (artists, curators, programmers, podcasters, and others) promote their content effectively across Pandora and SiriusXM reaching an audience of 100 million listeners. You will have expertise in recommendation systems, ranking, or related areas, and use your expertise to research and develop state-of-the-art solutions, shape technical roadmaps, and mentor other scientists in the area. Duties and Responsibilities:

• Propose, research, and develop machine learning systems to power unique creator-fan experiences
• Build production data pipelines and models at scale, and review methods and code of other scientists and engineers
• Generate long-term innovative project ideas with broad reach
• Design and analyze experiments to validate scientific hypotheses
• Provide research guidance and mentor other scientists in the area--
• 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.
    • 4+ years of industry experience developing and implementing machine learning algorithms
    • Expertise in recommendation systems, ranking or related areas Requirements and General Skills:
      • Demonstrated expertise in recommendation systems, ranking, or related areas
      • Demonstrated expertise in designing, prototyping, and implementing machine learning solutions in production environments
      • Ability to shape technical roadmaps and drive teams
      • 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/Qualifications:
          • PhD in a quantitative field (Computer Science, Statistics, Physics, etc)
          • Track record of research publications
          • Experience using Google Cloud Platform More details about our company benefits can be found-- here ! 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. Our goal at SiriusXM is to provide and maintain a work environment that fosters mutual respect, professionalism and cooperation. SiriusXM 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. You have been redirected to a SiriusXM job page

Keywords: SiriusXM, Oakland , Lead Machine Learning Scientist, Recommendations at Pandora, Other , Oakland, California