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 customer experience in Amazon's returns and recommerce operations.
Role type
Applied Scientist II (NLP/LLM/CV)
Builds
Scalable ML solutions for reverse-logistics, routing automation, and product re-use optimization
Domain
E-commerce, Circular Economy, Returns & Recommerce
Deliverable
production ML models
Required skills
NLP, LLM, Computer Vision, Python, PyTorch, SQL, Deep Learning, Statistical Analysis, Algorithm Design, Distributed Computing, Model Deployment
Preferred skills
Speech Recognition, Machine Translation, Computer Vision Algorithms, Patent/Publication experience
Technologies
XGBoost, BERT, Vision Transformers, MxNet, Tensor Flow, Jupyter
Responsibilities
Research and implement novel machine learning and statistical approaches; Mentor interns; Work with engineering teams to integrate models into production systems at large scale
Seniority
Mid-Senior, hands-on IC