Build recommendation systems for Fable and Everand using Python, learned ranking, and embedding-based retrieval through Scribd Flex.

As a Senior Machine Learning Engineer, you will own Fable recommendations and grow into Premium’s technical lead. You will migrate Fable onto Orion’s contemporary stack while expanding discovery across Scribd’s reading products. The work spans production systems, social signals, experiments, and collaboration with product managers and Orion engineers.

Key Responsibilities: Lead Fable’s recommendation migration onto Orion

Extend rankers, feature store, and embedding retrieval

Own production quality, latency, cost, and on-call

Bring social signals into Fable and Everand recommendations

Design and analyze online experiments

Requirements: Five or more years as an ML or software engineer

Production recommender systems experience

Large-scale processing with Spark, Databricks, or BigQuery

AWS or GCP and container deployment experience

Online experiment design and analysis experience

Lead recommendation engineering for Fable and Everand with production machine learning, retrieval, ranking, and experimentation expertise.

📌 Senior Machine Learning Engineer Recommendations (Toronto)
🏢 Scribd
📍 Toronto