Wayfair - Senior Machine Learning Scientist - Python

Description :

Responsibilities :

- Build and optimize ML systems for budget allocation, tROAS forecasting, SKU selection, and campaign decisioning using deep neural networks, reinforcement learning, and large-scale modeling.

- Lead next-generation creative optimization using deep learning and GenAI to drive improvements in advertiser ROI.

- Architect robust, scalable ML solutions designed for reuse, extensibility, and long-term impact across multiple ad workflows.

- Work closely with Product, Engineering, and Sales to translate business problems into ML-powered automated systems.

- Apply best practices in RL, bandits, forecasting, and optimization to advance Wayfair's AdTech capabilities.

- Partner with ML Platform and AdTech Engineering teams to deploy and scale production-grade ML models.

Requirements :

- Bachelor's or Master's in CS, Statistics, Mathematics, or a related field.

- 9+ years of experience building large-scale ML systems.

- 4+ years in a technical leadership or ML architecture role.

- Strong expertise in deep learning, reinforcement learning, multi-armed bandits, or large-scale optimization.

- Proficiency in Python and modern ML frameworks (PyTorch/TensorFlow).

- Strong communication and cross-functional collaboration skills.

- A strategic, product-oriented mindset and the ability to influence direction through data and analysis.

Nice to Have :

- Experience with Spark, Hive, Hadoop, or Airflow.

- Exposure to GCP or other cloud platforms.

- Background in advertising, recommender systems, or marketplace optimization.

- Experience building agentic or workflow-driven AI systems.