Senior Machine Learning Engineer, Premium Discovery

San Francisco, Remote. Posted 21 days ago

The role

You will own recommendations for Fable and act as the technical lead for Premium recommendations. You will lead the migration of Fable's recommendations onto the Orion platform and manage the health of recommendation systems in production.

What you will do

Lead the migration of Fable's recommendations onto Orion
Extend Orion's rankers, feature store and embedding-based retrieval to support Fable
Own the health of Fable's recommendation systems in production
Bring Fable's social signals into recommendations for Fable and Everand
Design and analyze A/B tests with product managers and analysts
Act as technical lead for Premium recommendations
Shape the roadmap with product managers
Raise the bar on engineering practice through design reviews, code quality and operational readiness

Required qualifications

5+ years as a professional ML or software engineer
Track record of shipping production ML systems
Hands-on experience building and running recommender systems in production, such as collaborative filtering or matrix factorization, two-tower or embedding retrieval, and learned ranking
Experience with large-scale data processing (Spark, Databricks, BigQuery or similar)
Experience on at least one major cloud (AWS or GCP)
Experience deploying services on containers (Kubernetes, ECS or similar)
Experience designing and analyzing online experiments
A record of leading projects that depend on other teams
Experience working directly with product managers
Bachelor's or Master's degree in Computer Science, or equivalent professional experience

Nice to have

Google Cloud experience, especially Vertex AI and BigQuery
Experience migrating or replacing a production ML system while keeping it running
Social or graph-based recommendations, such as user similarity, follows or groups
Search and semantic retrieval (Elasticsearch, Vertex AI Search, vector databases)
Experience on consumer apps for reading, media or social

Benefits

Scribd Flex (flexible work model)
Comprehensive health, dental, and vision coverage
Mental health support and disability coverage
Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals
Paid parental leave and family support benefits
Retirement matching and employee equity
Learning and development programs and professional growth opportunities
Wellness and home office stipends
Complimentary access to the Scribd, Inc. suite of products
Enterprise access to leading AI tools

Before you apply

Employees must have their primary residence in or near one of the listed cities in the United States, Canada, or Mexico

About the company

Scribd, Inc. is on a mission to advance human understanding through products including Scribd, Slideshare, Everand, and Fable.