Want to help invent next generation technologies in optimization and recommender systems? Would you like a unique opportunity to directly impact millions of customers every day, and drive billions of dollars of impact? We've got the perfect job for you.
Amazon's Personalization team is looking for a seasoned Applied Science Manager to help lead the company's retail content optimization system. Owning one of the largest scale machine learning systems in the company, you will lead the team that builds automated systems to optimize the content and layout of Amazon's most important shopping pages. You will help push the boundaries of applied science in areas such as deep reinforcement learning, multi-armed bandits, natural language understanding, and counterfactual learning while building scalable industrial systems that can process billions of requests per day.
We are looking for an entrepreneurial manager with strong leadership, great business and technical judgment, clear communication skills, and strong track record of delivery.
As a part of this role, you will:
* Define the long-term development, science and business strategies for the team * Build and manage a team of industry-leading software engineers and applied scientists * Foster career growth and a strong team culture * Recruit, hire, mentor, and coach technical staff * Interface with internal customers to understand requirements, set priorities and communicate direction and progress * Own all operational metrics and support for your team's software * Manage the agile development process and methodology to deliver value to customers
This is a rare opportunity to lead a highly leveraged team that drives a massive impact at Amazon. We are defining the future of content optimization at the biggest internet retailer on Earth. We hope you will join us!
Amazon is a company operating a marketplace for consumers, sellers, and content creators.