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# Senior Machine Learning Scientist - Agentic Merch

- **Company:** Wayfair LLC
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Encodings, Python (Programming Language), Machine Learning, Unstructured Data, QLoRA, Pytorch, Large Language Models, Agentic-AI, Xgboost, Machine Learning Operations, Feature Extraction
- **Published:** November 8, 2026
- **Apply:** https://www.juju.com/job/28_25303_99a52ef0278e4d193aa572093700d862

## About the Role

* Minimum 5+ years of experience with PhD, or 9+ years of industry experience with MS, or 10+ years of experience with a BS in a quantitative STEM field.
 * 2+ years of experience working as a Tech Lead, preferably developing agentic AI workflows at scale.
 * Strong proficiency in Python and the ML ecosystem, with hands-on experience using frameworks such as PyTorch, XGBoost, or similar.
 * Proven experience deploying ML models into production, including collaboration with engineering partners and operating models at scale.
 * Deep expertise in building and scaling graph relationships based on structured and unstructured data and agentic workflows to uncover customer demand, organize products to demand spaces, and drive automated gap identification.
 * Hands-on experience with representation learning, embedding-based similarity search, and graph-based ML to construct demand huddles and model product substitutability across multimodal data (text, images, attributes

## Description

* Design, build, and deploy machine learning models that identify relationships between products in Wayfair's catalog and external trends, and optimize the product mix for the right demand.
 * Apply a mix of techniques including representation learning, similarity search, classification, and graph-based methods to model product relationships across structured and unstructured data (attributes, text, images).
 * Optimize cost, efficiency, and scalability of AI models, leveraging parameter-efficient fine-tuning (LoRA, QLoRA), knowledge distillation, and hybrid ML approaches.
 * Conduct exploratory data analysis on large, noisy retail datasets to uncover patterns, edge cases, and opportunities for model improvement.
 * Own end-to-end ML projects from problem formulation and experimentation through production deployment, monitoring and iteration.
 * Define and track success metrics for product grouping quality, product curation success, assortment gap identification, using data to continuously improve system performance.
 * Collaborate with top AI research and industry leaders (e.g., Google, Anthropic, Snorkel AI) to explore cutting-edge techniques in LLMs, data labeling automation, and scalable ML workflows.
 * Develop agentic AI workflows for automated schema definition, dataset generation, production relationship modeling, and LLM-based judgment systems to validate catalog data.
 * Mentor junior ML scientists and contribute to a culture of technical rigor, collaboration, and knowledge sharing.
 * Partner closely with product managers, supplier experience teams, and engineers to translate business needs into scalable ML solutions that integrate into production workflows.