Applied Science Manager, Rufus Experience Science

Amazon • Palo Alto, CA

7d

About The Position

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. 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 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.

Requirements

• 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.

Responsibilities

• Independently manage a science team working to solve complex scientific problems that have a high business and customer impact.
• Accountable for the structure and strategic direction of your team, the artifacts they provide, and any technologies owned.
• Partner with your stakeholders and leadership to define the science vision for your team.
• Bridge the gap between science, tech, and business, and you will establish structures that enable your team to consistently deliver.
• 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.
• Drive reasonable schedules and when needed, readjust priorities to ensure the right outcomes.
• Define audit mechanisms and metrics that enable you to quickly explain your team’s performance and any variance against goals.
• 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.

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees