Applied Science Manager, Rufus Science

Description

Rufus Experience Science team advances Amazon’s 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.

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 team’s 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 Company’s 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 (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t 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  .

USA, CA, Palo Alto -  -  USD annually