Applied Scientist II
Applied Scientist II
Posted on :
23-04-2025
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1 Vacancy
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Job Description
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 clustercomputing technologies to process billions of products and algorithmically find products not already sold on Amazon. We work with structured semistructured and Visually Rich Documents using deep learning NLP and image processing . The role demands a highperforming and flexible candidate who can take responsibility for 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 & 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/AIbased deduplication and entity resolution
Develop advanced anomaly detection frameworks to identify data quality issues and inconsistencies across large datasets.
Build knowledge graphbased 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 realtime model implementations
Establish scalable efficient automated processes for large scale model development model validation and model maintenance
Leading projects and mentoring other scientists engineers in the use of ML techniques
3 years of building models for business application experience
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience in patents or publications at toptier peerreviewed conferences or journals
Experience programming in Java C Python or related language
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience using Unix/Linux
Experience in professional software development
Experience in patents or publications at toptier peerreviewed 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
We are looking for Applied Scientists to tackle challenging problems in the areas of high scale data processing quality & 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/AIbased deduplication and entity resolution
Develop advanced anomaly detection frameworks to identify data quality issues and inconsistencies across large datasets.
Build knowledge graphbased 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 realtime model implementations
Establish scalable efficient automated processes for large scale model development model validation and model maintenance
Leading projects and mentoring other scientists engineers in the use of ML techniques
3 years of building models for business application experience
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience in patents or publications at toptier peerreviewed conferences or journals
Experience programming in Java C Python or related language
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience using Unix/Linux
Experience in professional software development
Experience in patents or publications at toptier peerreviewed 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Key Skills
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