Applied Scientist II, Worldwide Returns & Recommerce - Science
Core
Design, develop, and evaluate innovative models for Natural Language Programming (NLP), Large Language Models (LLM), or Large Computer Vision Models to automate routing, optimize re-use, and improve the customer returns experience at Amazon.
Role type
Applied Scientist II (NLP/LLM/CV)
Builds
Scalable ML solutions for reverse-logistics, including model implementations integrated into production systems at very large scale.
Domain
E-commerce / Circular Economy / Returns & ReCommerce
Deliverable
production ML models
Required skills
NLP, LLM, Computer Vision, Python, SQL, PyTorch, XGBoost, BERT, Vision Transformers, deep learning frameworks (TensorFlow, MxNet), algorithms and data structures, numerical optimization, parallel and distributed computing
Preferred skills
Speech recognition, machine translation, patent or publication experience at top-tier conferences, experience with commercial speech products
Technologies
Python, Jupyter, PyTorch, SQL, XGBoost, BERT, Vision Transformers, TensorFlow, MxNet
Responsibilities
Research and implement novel machine learning and statistical approaches; mentor interns; work closely with data and software engineering teams to integrate models into production systems
Seniority
Mid-level IC (2+ years experience)