Applied Science Manager, Rufus Experience Science

Rufus Experience Science team advances Amazons Shopping AI assistant Rufus to make shopping more effortless inspiring and delightful for customers. As an Applied Science Manager you will lead a team of Scientists and Business Intelligence Engineers collaborating closely with Software Development Managers Product Managers and Technical Program Managers. Together you will develop and optimize customer-facing Rufus experiences such as Rufus Conversation Related Questions and Suggestions Autocompletion and AI Overview etc. . You will also drive research and innovation in multi-agent orchestration to ensure every interaction with Rufus is helpful informative and enjoyable.

Key job responsibilities
You independently manage a science team working to solve complex scientific problems that have a high business and customer impact. As a manager you are accountable for the structure and strategic direction of your team the artifacts they provide and any technologies owned. You Partner with your stakeholders and leadership to define the science vision for your team. You will bridge the gap between science tech and business and you will establish structures that enable your team to consistently deliver. You build a team that delivers successfully without you and you are strategic about the team members growth and provide those interested with opportunities to demonstrate higher level role scope impact complexity and leadership. You drive reasonable schedules and when needed readjust priorities to ensure the right outcomes. You define audit mechanisms and metrics that enable you to quickly explain your teams performance and any variance against goals. You will also lead your team to leverage the broader Amazon scientific community and build a team culture that focuses on bringing research to production removing road blockers and delivering more results for Amazon customers.

- 3 years of scientists or machine learning engineers management experience
- Knowledge of ML NLP Information Retrieval and Analytics
- Experience communicating to senior management and customers verbally and in writing
- Strong communication skills both verbal and written.
- Strong communication skills both verbal and written.

- 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
- Experience in bringing LLMs to applications. Experience in Search or Ads domains.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at CA Palo Alto - 211400.00 - 286000.00 USD annually