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Principal Applied Scientist - Generative AI, Trust and Store Integrity Science

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Principal Applied Scientist - Generative AI, Trust and Store Integrity Science

1 week ago Be among the first 25 applicants

Join to apply for the Principal Applied Scientist - Generative AI, Trust and Store Integrity Science role at Amazon

Description
As we strive to be Earth's most customer-centric company, Amazon has reinvented how hundreds of millions of people shop online – providing customers with the opportunity to find and discover virtually anything they want to buy and providing millions of sellers with a platform for growing successful businesses. We are seeking an exceptional Principal Applied Scientist to lead the development and implementation of advanced AI solutions that will transform how we prevent bad actors from operating in our store and enable Selling Partners to start and grow their business without fear of disruption, so that customers and Selling Partners across the globe trust us and have confidence in the integrity of Amazon’s store.

Description
As we strive to be Earth's most customer-centric company, Amazon has reinvented how hundreds of millions of people shop online – providing customers with the opportunity to find and discover virtually anything they want to buy and providing millions of sellers with a platform for growing successful businesses. We are seeking an exceptional Principal Applied Scientist to lead the development and implementation of advanced AI solutions that will transform how we prevent bad actors from operating in our store and enable Selling Partners to start and grow their business without fear of disruption, so that customers and Selling Partners across the globe trust us and have confidence in the integrity of Amazon’s store.
This role will focus on leveraging large language models and other generative AI technologies to enhance decision-making processes, automate complex risk assessment tasks, and improve operational efficiency in selling partner risk management.
Key job responsibilities

• Lead the research, design, and implementation of innovative AI solutions for selling partner risk assessment and management
• Drive the technical vision for applying AI to transform workforce operations in Trust and Store Integrity organization
• Develop novel approaches to automate and enhance risk analysis processes using state-of-the-art language models
• Partner with business stakeholders to identify high-impact opportunities for AI-driven transformation
• Mentor and guide junior scientists while fostering a culture of innovation
• Design and implement evaluation frameworks to measure the impact of AI solutions
• Ensure responsible AI development with focus on fairness, transparency, and ethical considerations
  

About The Team
Trust and Store Integrity Science is a new org established in 2024. We are missioned to leverage the fast evolving AI advancements to transform how we prevent bad actors in our stores, across science, engineering, product and program management, and operations.
Basic Qualifications

• PhD in Computer Science, Machine Learning, or related field, or equivalent experience
• 10+ years of experience in applied machine learning and AI
• Deep expertise in natural language processing and generative AI technologies
• Strong track record of delivering ML solutions at scale
• Experience with large language models and their enterprise applications
• Excellence in Python and modern ML frameworks
• Strong publication record in top-tier conferences/journals
  

Preferred Qualifications
Preferred Qualifications:

• Experience in risk management or fraud detection
• Knowledge of e-commerce marketplace dynamics
• Track record of leading large-scale AI transformation projects
• Experience with AWS AI/ML services
• Strong business acumen and ability to translate technical solutions to business impact
  

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 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 $179,000/year in our lowest geographic market up to $309,400/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.

Company - Amazon.com Services LLC
Job ID: A3018102

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Science, and Engineering

• Industries

  Software Development

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