Scribd

Scribd

Senior Machine Learning Engineer, Premium Discovery

San Francisco · Senior · Contract

Sponsorship not specifiedDetected 1 hour ago
PythonGoRubyDjangoFastAPIRailsPostgreSQLElasticsearchBigQueryDatabricksVector DatabasesAWSGCPKubernetesTerraformDatadoggRPCMachine LearningSparkAirflowMLOpsResearchCollaboration

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PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • Fable's recommender today is a collaborative-filtering model built in house.
  • It has served readers well, but it has no real-time signals and no learned ranking, and it can't recommend to new or lapsed readers.
  • Your first big project is to move Fable onto Orion, so Fable and Everand share a modern recommendation stack.

Responsibilities

  • Lead the migration of Fable's recommendations onto Orion, covering data, features, training, serving and experiments, while keeping today's recommendations running.
  • Extend Orion's rankers, feature store and embedding-based retrieval to support Fable, in partnership with the Orion ML platform team.
  • Design and analyze A/B tests with product managers and analysts to decide what ships.
  • Act as technical lead for Premium recommendations. Shape the roadmap with product managers, and see work that depends on other teams' systems through to delivery.
  • Raise the bar on engineering practice in the squad through design reviews, code quality and operational readiness.
  • We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas.
  • Come join us in building something meaningful.

Requirements

  • 5+ years as a professional ML or software engineer, with a track record of shipping production ML systems.
  • Experience with large-scale data processing (Spark, Databricks, BigQuery or similar).
  • Experience on at least one major cloud (AWS or GCP), including deploying services on containers (Kubernetes, ECS or similar).
  • Experience designing and analyzing online experiments.
  • Bachelor's or Master's degree in Computer Science, or equivalent professional experience.
  • Our four products - Scribd®, Slideshare®, Everand™, and Fable - help billions of people across the globe move beyond access and into insight, application, and expertise.

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.
  • San Francisco is our highest geographic market in the United States.
  • We carefully consider a wide range of factors when determining compensation, including but not limited to experience
  • job-related skill sets

Compensation

  • At Scribd, Inc. your base pay is one part of your total compensation package and is determined within a range.

Benefits

  • 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
  • Own the health of Fable's recommendation systems in production: quality, latency, cost and on-call.
  • We're looking for a Senior Machine Learning Engineer to own recommendations for Fable and grow into the technical lead for Premium recommendations.
  • Scribd Flex (flexible work model)

Company info

  • Premium is the Scribd Inc. pillar behind two reading products: Everand, the audiobook and ebook subscription app, and Fable, the social app where readers track, discuss and discover books.
  • Helping readers find their next book is central to both, so search and recommendations sit at the heart of the products.
  • You'll join Premium's new Discovery squad.
  • It's a small, dedicated group of recommendations, search, applied research and ML engineers working full time on discovery for Everand and Fable.
  • The squad works closely with Orion, Scribd's ML platform team.
  • Orion runs the feature store, model registry, embedding-based retrieval and model serving behind discovery across Scribd, Slideshare and Everand.
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This listing is sourced directly from Scribd's careers page and normalized into a canonical job model.