Applied Scientist, Worldwide Returns & Recommerce - Science
Core
Design, develop, and evaluate Natural Language Understanding (NLU) and Large Language Model (LLM) models to automate routing, optimize re-use, and improve the customer returns experience for returned and damaged products.
Role type
Applied Scientist (NLU/LLM/GenAI)
Builds
Scalable machine learning solutions for reverse-logistics and re-commerce systems
Domain
E-commerce, Circular Economy, Natural Language Processing, Computer Vision
Deliverable
production ML models
Required skills
Machine learning model development, Natural Language Understanding (NLU), Large Language Models (LLM), Generative AI, Python, PyTorch, SQL, statistical analysis, algorithm design
Preferred skills
Unix/Linux, professional software development, patents or publications at top-tier conferences
Technologies
XGBoost, BERT, Vision Transformers, Large Language Models, PyTorch, Jupyter
Responsibilities
Design and evaluate innovative NLU and LLM models; use SQL to query and analyze data; research and implement novel machine learning approaches; mentor interns; integrate models into production systems at large scale
Seniority
Senior, hands-on IC