Senior Applied Scientist, Selection Monitoring
Core
Developing advanced ML/AI technologies to process billions of products and algorithmically find products not already sold on Amazon by extracting information from Visually Rich Documents and the web.
Role type
Senior Applied Scientist (Selection Monitoring)
Builds
Scalable systems for web crawling, information extraction, and clustering of Visually Rich Documents for Amazon's product catalog.
Domain
E-commerce, Internet Scale Data Processing, Computer Vision, NLP
Deliverable
production ML models
Required skills
Deep learning, NLP, Reinforcement learning, Information extraction, Text mining, Distributed computing, High-performance computing, LLM/SLM fine-tuning
Preferred skills
Large scale distributed systems, Advanced LLM training methods, Model deployment
Technologies
Java, C++, Python, Tensorflow, Spark, Hadoop, DPO, GRPO
Responsibilities
Designing and deploying scalable ML models for web crawling and information extraction; Optimizing processes for extracting data from Visually Rich Documents; Mentoring scientists and engineers; Publishing research innovations.
Seniority
Senior, hands-on IC with mentorship