Amazon Applied Science Manager Music ML-P13N 

United States, California, San Francisco 

204782124

You will be managing a team within the Music Machine Learning and Personalization organization that is responsible for developing, training, serving and iterating on models used for personalized candidate generation for both Music and Podcasts.Key job responsibilities- Hire and develop top talents, provide technical and career development guidance to both scientists and engineers in the organization.
- Leverage industry best practices to establish repeatable applied science practices, principles & processes.San Francisco, CA, USA

- 4+ years of applied research experience
- 3+ years of scientists or machine learning engineers management experience
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Experience programming in Java, C++, Python or related language

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.