Job Information
Amazon Applied Science Manager, Music ML-P13N in San Francisco, California
Description
Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.
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
Lead a group of scientists and software engineers located in San Francisco and Seattle to deliver solutions utilizing ML and other advanced algorithms to solve business problems.
Advance team's engineering craftsmanship and drive continued scientific innovation as a thought leader and practitioner.
Develop science and engineering roadmap, run Sprint/quarter and annual planning, and foster cross-team collaboration to execute complex projects.
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.
We are open to hiring candidates to work out of one of the following locations:
San Francisco, CA, USA
Basic Qualifications
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
Preferred Qualifications
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $147,100/year in our lowest geographic market up to $286,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.