Applied Science Manager, Sponsored TV
Found in: Talent US C2 - 2 weeks ago
A qualified candidate will possess strong applied science skills with experience working on sourcing, ranking or relevance in the areas of search or advertising. You must be able to thrive and succeed in an entrepreneurial environment, and be eager to dig in and get the job done. You will manage and enable the developers on your team to successfully deliver projects. You will regularly communicate with senior management and other stakeholders on status, risks and regularly acquire executive sponsorship for cross team initiatives. You will work on some of Amazon’s hardest problems. This is a highly visible program across multiple organizations where you will have the opportunity to have a huge impact.
Key job responsibilities
- Define and execute a research & development roadmap for the Sponsored TV Performance Optimization team that appropriately balances near-term incremental improvements with long-term vision
- Lead a team of motivated scientists and software engineers to deliver solutions utilizing ML and other advanced algorithms to solve business problems.
- Design and execute experiments, and analyze experimental results in collaboration with Product Managers, Data Engineers, Economists, and other specialists.
- Leverage industry best practices to establish repeatable applied science practices, principles & processes.
- Establish and drive operational excellence best practices to ensure the team consistently produces and maintains high quality software.
- Work with Product Management to define current and future use-cases and align them with the Performance Optimization team’s R&D efforts
About the team
Sponsored TV Ads is a strategic new Amazon Ads product that is pioneering new experiences to help brands connect with millions of viewers. We are innovating on performance ads on TV. If you’re interested in joining a new and rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place. We also strive to be a diverse and inclusive team and value work life balance.
#SponsoredTV #STJobs
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
BASIC QUALIFICATIONS
- 3+ years of scientists or machine learning engineers management experience- 6+ years of applied research experience
- Knowledge of machine learning approaches and algorithms
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
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