What are the responsibilities and job description for the Manager, Applied Science, AFT AI position at Amazon?
DESCRIPTION
Are you excited about developing novel agentic AI solutions and leveraging them to automate Amazon operations? Are you looking for opportunities to build and deploy them on real-world problems at a truly vast scale with global impact? As part of AFT (Amazon Fulfillment Technologies) AI, we are on a mission to build a new generation of dynamic end-to-end agentic solutions for our warehouses. These models will be able to understand and make use of petabytes of human-centered as well as process information from our warehouse systems and robotic work cells, and learn to perceive and act to further improve our world-class customer experience – at Amazon scale.
We are looking for a Manager of Applied Science who will lead this effort. Together, we will be pushing beyond the state of the art GenAI to automate one of the most complex systems in the world: Amazon's Fulfillment Network.
Key job responsibilities
In this role, you will manage a talented team of scientists to to build large-scale GenAI models that will be able to understand and reason about the state of our buildings, predict the best actions to take, and then take them.
You will face a high level of research ambiguity and problems that require creative, ambitious, and inventive solutions. You will lead a team of scientists to solve problems that will drive transformative change on a truly global scale. You will collaborate with teams of engineers to leverage solutions in production. You will lead the vision and implementation and communicate both to higher level leadership at Amazon.
If you thrive in a dynamic environment and are passionate about pushing the boundaries of generative AI solutions in real world environments, we want to hear from you.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
Amazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.
The AFT AI team has deep expertise developing cutting edge AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. We influence each stage of innovation from inception to deployment, developing a research plan, creating and testing prototype solutions, and shepherding the production versions to launch.
We are looking for a Manager of Applied Science who will lead this effort. Together, we will be pushing beyond the state of the art GenAI to automate one of the most complex systems in the world: Amazon's Fulfillment Network.
Key job responsibilities
In this role, you will manage a talented team of scientists to to build large-scale GenAI models that will be able to understand and reason about the state of our buildings, predict the best actions to take, and then take them.
You will face a high level of research ambiguity and problems that require creative, ambitious, and inventive solutions. You will lead a team of scientists to solve problems that will drive transformative change on a truly global scale. You will collaborate with teams of engineers to leverage solutions in production. You will lead the vision and implementation and communicate both to higher level leadership at Amazon.
If you thrive in a dynamic environment and are passionate about pushing the boundaries of generative AI solutions in real world environments, we want to hear from you.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
Amazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.
The AFT AI team has deep expertise developing cutting edge AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. We influence each stage of innovation from inception to deployment, developing a research plan, creating and testing prototype solutions, and shepherding the production versions to launch.
BASIC QUALIFICATIONS
- Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 6 years of applied research experience
- 3 years of building machine learning models or developing algorithms for business application experience
- Experience directly managing scientists or machine learning engineers
- Experience programming in Java, C , Python or related language
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
PREFERRED QUALIFICATIONS
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience hiring and growing top talent
- Knowledge of LLMs, Reinforcement Learning, Agentic AI systems
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $165,500/year in our lowest geographic market up to $286,000/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Salary : $165,500 - $286,000
