Job Description
Amazon is seeking a Senior Applied Scientist to join our team in Seattle, Washington. This is a unique opportunity to be part of a new AI-first initiative aimed at re-architecting and reinventing Amazon's search capabilities using next-generation deep learning techniques. Our goal is to make significant improvements in the application of advanced Machine Learning (ML) on very large-scale datasets, leveraging aggressive systems engineering and hardware accelerators.
Key Responsibilities
- Train large deep learning models with hundreds of billions of parameters.
- Build foundational ML models applicable to various Amazon business applications, such as Search and Ads.
- Focus on efficient model architecture, training and data optimization/scaling, and model/data/pipeline parallel techniques.
Basic Qualifications
- Master's degree in computer science, mathematics, statistics, machine learning, or a related quantitative field.
- Experience programming in Java, C++, Python, or a related language.
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, and high-performance computing.
Preferred Qualifications
- Experience implementing algorithms using both toolkits and self-developed code.
- Publications in top-tier peer-reviewed conferences or journals.
- Experience with large language models and domain knowledge in Search and Ads systems.
About the Team
Join a team with a startup culture within a larger organization, where you can shape and build the next generation of Amazon ML. We are looking for exceptional scientists and ML engineers who are passionate about innovation and impact.
Compensation
The base pay for this position ranges from $129,400/year to $212,800/year, depending on market location and job-related knowledge, skills, and experience. Amazon offers a total compensation package, which may include equity, sign-on payments, and a full range of medical, financial, and other benefits.
Equal Opportunity Employer
Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
Benefits Extracted with AI
- Medical insurance
- Financial benefits
- Equity options
- Sign-on payments
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