Applied Scientist I, Worldwide Returns & Recommerce - Science
Core
Design, develop, and evaluate innovative machine learning models (NLP, LLM, Computer Vision) to automate routing, optimize re-use, and improve the customer returns experience for returned and damaged products.
Role type
Applied Scientist I (Machine Learning)
Builds
Scalable ML models and algorithms integrated into production systems for reverse-logistics and re-commerce.
Domain
E-commerce / Circular Economy / Returns Management
Deliverable
production ML models
Required skills
Machine Learning, Natural Language Processing (NLP), Large Language Models (LLM), Computer Vision, Python, SQL, PyTorch, XGBoost, BERT, Vision Transformers
Preferred skills
Algorithm implementation, Research publications at top-tier conferences
Technologies
Python, PyTorch, Jupyter, SQL, Oracle, XGBoost, BERT, Vision Transformers, Large Language Models
Responsibilities
Design and evaluate models for NLP, LLM, or Computer Vision; Query and analyze data using SQL; Train and deploy ML models; Research novel ML and statistical approaches; Mentor interns; Collaborate with engineering teams to integrate models at large scale.
Seniority
Individual Contributor (IC), Early Career
