Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger. In order to drive expansion of the Amazon catalog, we use machine learning and cluster computing technologies to process billions of products and algorithmically find products not already sold on Amazon. We work with structured, semi-structured and visually rich documents using deep learning, NLP and image processing. The role demands a high-performing and flexible candidate who can take responsibility for the success of the system and drive solutions from research, prototype, design, coding and deployment.
We are looking for Applied Scientists to tackle challenging problems in the areas of high‑scale data processing, quality and natural‑language based information retrieval from data. You will encounter many challenges, including:
* Scale – build models to handle billions of records
* Accuracy – high precision and recall requirements in deduplication and anomaly detection
* Diversity – models need to work across different data formats, languages and sources
You will help us to:
* Build scalable systems for intelligent catalog management using ML/AI‑based deduplication and entity resolution
* Develop advanced anomaly detection frameworks to identify data quality issues and inconsistencies across large datasets
* Build knowledge‑graph based solutions to enhance data relationships and improve consumption of structured and unstructured data for consumers at scale
Key job responsibilities
* Use AI, NLP and advances in LLMs/SLMs to create scalable solutions for business problems
* Design, develop, evaluate and deploy innovative and highly scalable ML models
* Work closely with software engineering teams to drive real‑time model implementations
* Establish scalable, efficient, automated processes for large‑scale model development, model validation and model maintenance
* Lead projects and mentor other scientists and engineers in the use of ML techniques
Basic Qualifications
* 3+ years of building models for business application experience
* PhD or Masters degree
* Experience in patents or publications at top‑tier peer‑reviewed conferences or journals
* Experience programming in Java, C++, Python or related language
* Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‑performance computing
Preferred Qualifications
* Experience using Unix/Linux
* Experience in professional software development
* Experience in patents or publications at top‑tier peer‑reviewed conferences or journals
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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