Manager, Applied Science & AI, Amazon Exports & Expansions
Manager, Applied Science & AI, Amazon Exports & Expansions
Posted on :
27-05-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Amazon Exports and Expansions (AEE) - Science and AI (SAI) team is focused on (i) Day 0 Search relevance experience for newly launched Amazon stores and (ii) Retail Intelligent Advisor a GenAI based assistant to to improve WW retail operations and reduce cost-to-serve. We design develop and deploy high performance fault-tolerant distributed services used by both Amazon internal and external customers every day.
Key job responsibilities
As an Applied Science Manager You will:
- independently manage a team Applied Scientists and SDEs working to solve complex scientific problems that have a high impact on a business or technology area. Your team is responsible for scientific research delivering artifacts that inform important business decisions or incorporated into software solutions.
- partner with your stakeholders and leadership (both tech and business) to define a vision and tenets that communicate how your team makes decisions. You bridge the gap between science tech and business. You understand the business area your team serves (goals concerns and aspirations). You establish structures that enable your team to consistently deliver.
- focus on strategic development of senior scientists and engineers in your team and provide those interested with opportunities to demonstrate higher level role scope impact complexity and leadership. You build a team that delivers successfully without you.
- leverage the broader Amazon scientific community to provide input to model reliability accuracy and validity. You build a team culture that focuses on repeatability and reproducibility of research.
- tackle ambiguous problems and proactively mitigate risks before they become roadblocks. When confronted with discordant views you are able to find the best way forward and influence others to follow that path (build consensus). You work to keep your scientific skills relevant. You may manage employees in other locations.
A day in the life
At the heart of this role is delivery. You will be hands-on in driving the delivery of critical business initiatives managing all aspects of the project such as project planning risk management communication and implementation planning. You will be a technical problem solver on the team identifying innovative solutions to project deadlocks and resolving issues and constraints through negotiation diplomacy and sound judgment. You will be responsible for making project decisions and achieving tactical goals while retaining a strategic focus.
- 5 years of scientists or machine learning engineers management experience
- Knowledge of ML NLP Information Retrieval and Analytics
- Masters degree in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field or PhD
- 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165500/year in our lowest geographic market up to $286000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key job responsibilities
As an Applied Science Manager You will:
- independently manage a team Applied Scientists and SDEs working to solve complex scientific problems that have a high impact on a business or technology area. Your team is responsible for scientific research delivering artifacts that inform important business decisions or incorporated into software solutions.
- partner with your stakeholders and leadership (both tech and business) to define a vision and tenets that communicate how your team makes decisions. You bridge the gap between science tech and business. You understand the business area your team serves (goals concerns and aspirations). You establish structures that enable your team to consistently deliver.
- focus on strategic development of senior scientists and engineers in your team and provide those interested with opportunities to demonstrate higher level role scope impact complexity and leadership. You build a team that delivers successfully without you.
- leverage the broader Amazon scientific community to provide input to model reliability accuracy and validity. You build a team culture that focuses on repeatability and reproducibility of research.
- tackle ambiguous problems and proactively mitigate risks before they become roadblocks. When confronted with discordant views you are able to find the best way forward and influence others to follow that path (build consensus). You work to keep your scientific skills relevant. You may manage employees in other locations.
A day in the life
At the heart of this role is delivery. You will be hands-on in driving the delivery of critical business initiatives managing all aspects of the project such as project planning risk management communication and implementation planning. You will be a technical problem solver on the team identifying innovative solutions to project deadlocks and resolving issues and constraints through negotiation diplomacy and sound judgment. You will be responsible for making project decisions and achieving tactical goals while retaining a strategic focus.
- 5 years of scientists or machine learning engineers management experience
- Knowledge of ML NLP Information Retrieval and Analytics
- Masters degree in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field or PhD
- 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165500/year in our lowest geographic market up to $286000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Manager
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
