Science Manager - Curation, Amazon
Amazon
DESCRIPTION
The Publisher Technologies (PubTech) team builds and operates extensible services that empower 1P Publishers to improve the monetization of their customer experiences, along with the experiences themselves. We bias toward standards-based and flexible designs that allow Publishers the ability to invent on top of our solutions and to interoperate well with other advertising technology providers; both internal and external.
In this role, you will collaborate closely with cross-functional teams to execute complex projects, ensuring alignment across science, engineering, and product strategies with business objectives. You will be hands-on in data analysis, machine learning model development, and A/B testing, using your insights to inform decisions and communicate impact to senior management. As a leader, you will foster a culture of innovation, providing technical and scientific mentorship to your team while guiding them in delivering solutions that elevate both advertiser satisfaction and the overall shopping experience on Amazon. Additionally, you will play a key role in hiring and developing top talent, ensuring the growth and success of your team.
This is a rare chance to play a pivotal role in defining the vision, capabilities, and architecture. If you're eager to make a significant impact within a fast-growing team, come join us as we work hard, have fun, and make history!
BASIC QUALIFICATIONS
- 3+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- 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 machine learning models or developing algorithms for business application
- 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165,500/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.