Senior Machine Learning Engineer, Recommendations at Scribd
Confirmed open
Modernize recommendations for Scribd’s Fable and Everand reading products. The posting lists selected US and Canadian cities and requires occasional in-person attendance.
- Location
- Remote
- Advertised region
- San Francisco / Phoenix / Toronto / Los Angeles / New York City / Vancouver / Seattle / United States
- Employment
- FullTime
- Work arrangement
- remote
- Technologies
- Python, AWS, GCP, Kubernetes, Go
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Role overview
Modernize recommendations for Scribd’s Fable and Everand reading products. The posting lists selected US and Canadian cities and requires occasional in-person attendance.
Employer-listed location: San Francisco / Phoenix / Toronto / Los Angeles / New York City / Vancouver / Seattle / United States.
Responsibilities
- Migrate Fable recommendations to the Orion ML platform; build features, training, serving and experiments; extend rankers and embedding retrieval; use social signals; monitor quality, latency and cost in production.
Qualifications
- The role calls for hands-on recommendation, search or applied ML engineering and ownership of experiments and production model performance.
How to apply
Review the original posting and apply through the employer’s careers page.
View source and applyApply directlySource checked: 2026-10-25
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