Applied ML Scientist

A company is looking for an Applied ML Scientist specializing in Model Calibration & Personalization.

Key Responsibilities

Fine-tune existing embeddings and learn weight calibration functions for cohesion scoring

Create context embeddings for rooms and users, and implement preference clustering

Define offline ranking metrics and design online A / B tests to evaluate model performance

Required Qualifications

4-8 years of applied ML experience in recommendation systems or personalization

MS / PhD preferred in Machine Learning, Computer Science, Applied Mathematics, or a related field

Strong technical expertise in PyTorch, XGBoost, and the Python data stack

Experience with multimodal embeddings and offline evaluation metrics

Background in e-commerce, fashion tech, home design, or digital advertising is a plus