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 up-to-date 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.

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