Applied Science Manager, SB Auction Team

Company:  Amazon
Location: Seattle
Closing Date: 28/10/2024
Salary: £125 - £150 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Applied Science Manager, SB Auction Team

Job ID: 2769837 | Amazon.com Services LLC

Amazon Advertising is at the forefront of shaping the future of advertising technology, and our Auction team in Sponsored Brands is pivotal in driving this innovation. We are seeking a passionate and visionary Applied Science Manager to lead a team of Applied Scientists, Data Scientists, and Machine Learning Engineers dedicated to advancing auction mechanisms within our advertising ecosystem. This role is essential for developing optimized and fair auction systems that deliver value for advertisers while enhancing the shopping experience for customers.

As the leader of the Auction Science team, you will drive the scientific and engineering strategy to innovate and build scalable solutions that improve auction design and efficiency. Your work will directly contribute to aligning advertiser needs with customer interests, ensuring that our auction systems maximize relevance and value for all stakeholders. You will be responsible for developing and managing a research agenda that balances short-term business impact with long-term strategic investments, driving continued scientific innovation in the fields of economics, game theory, operations research, and machine learning.

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.

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
  • Experience programming in Java, C++, Python or related language
  • Strong knowledge of auction theory, economics, game theory, or operations research, with experience in applying these principles in practical scenarios.

PREFERRED QUALIFICATIONS

  • Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
  • Experience building machine learning models or developing algorithms for business application
  • Strong publication record in relevant scientific fields.

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.

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