Amazon · 2 days ago
Applied Science Manager, Rufus Experience Science
Palo Alto, CA
Full-time
Onsite
Lead/Staff, Director/Executive
$211K/yr - $286K/yr
3+ years expAmazon's Rufus Experience Science team is advancing their Shopping AI assistant to enhance customer experiences. As an Applied Science Manager, you will lead a team of scientists and engineers to develop and optimize customer-facing features and drive research in multi-agent orchestration.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
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
Qualification
Required
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
Preferred
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
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
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
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