Job Description
"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.
The Worldwide Defect Elimination (WWDE) team 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 solutions to eliminate systemic defects and prevent future issues.
As a Sr. Applied Scientist, your role is pivotal in leveraging advanced AI and Machine Learning (ML) techniques to address customer issues at scale. You'll lead the development of innovative solutions that detect and organize issues, identify root causes, and route them to resolving teams across the company. You will leverage a spectrum of scientific techniques across both classical ML and Natural Language Processing (NLP)/GenAI to comb over our billions of customer interactions (using a combination of media). In this role, you will collaborate with cross-functional teams (Product, Engineering, Program) and contribute to advancing the state of defect elimination research.
Key job responsibilities
- Deliver solutions to the core business problems and influencing business partners
- Research and develop modeling techniques for NLP, DL, and ML
- Establish scientific culture and standards for all the scientists (publication, best practices, reviews, etc.)
- Develop scientific talent on the team
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
- 5+ 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
- Proficient with common ML and DL frameworks such as PyTorch
- 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
- Strong experience with NLP and generative deep learning models (i.e. LLM).
- Exceptional communication and collaboration skills
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 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 $150,400/year in our lowest geographic market up to $260,000/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 . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Job Tags
Temporary work, Seasonal work, Worldwide,