"We see our customers as invited guests to a party, and we are the hosts. It's our job every day to make every important aspect of the customer experience a little bit better." - Jeff Bezos, Founder & CEO.
We didn’t make Amazon a trillion-dollar company, our customers did and we want to ensure that our customers always have a positive experience that keeps them coming back to Amazon.
To help achieve this, the Worldwide Defect Elimination (WWDE) team, within Amazon Customer Service, relentlessly focuses on maintaining customer trust by building products that offer appropriate resolutions to resolve issues faced by our customers. WWDE scientists solve complex problems and build scalable, cutting-edge solutions to help our customers navigate through issues and eliminate systemic defects to prevent future issues.
As an Applied Scientist, your role is pivotal in leveraging advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques to address customer issues at scale. You'll develop innovative solutions that summarize and detect issues, organize them using taxonomy, and pinpoint root causes within Amazon systems. Your expertise will drive the identification of responsible stakeholders and enable swift resolution. Utilizing the latest techniques, you will build an AI ecosystem that can efficiently comb over our billions of customer interactions (using a combination of media). As a part of this role, you will collaborate with a large team of experts in the field and move the state of defect elimination research forward. You should have a knack for leveraging AI to translate complex data insights into actionable strategies and can communicate these effectively to both technical and non-technical audiences.
Key job responsibilities
- Develop ML/GenAI-powered solutions for automating defect elimination workflows
- Implement scalable and efficient scientific solutions in production environments
- Design and implement robust metrics to evaluate the effectiveness of ML/AI models
- Perform statistical analyses and statistical tests, including hypothesis testing and A/B testing
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
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:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 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.

BASIC QUALIFICATIONS

- 3+ years of building deep learning or machine learning models for business application experience
- Master's degree in computer science, machine learning, statistics, mathematics or equivalent quantitative field
- Deep knowledge in one or more areas of machine learning or deep learning
- Experience programming in Java, Python or related language

PREFERRED QUALIFICATIONS

- PhD in computer science, machine learning, statistics, mathematics or equivalent quantitative field
- Experience in patents or publications at top-tier peer-reviewed conferences or journal
- Experience with NLP and generative deep learning models (i.e. LLM)
- Ability to work collaboratively in a cross-functional team environment
- Ability to communicate with both technical and business stakeholders
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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 $136,000/year in our lowest geographic market up to $222,200/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.