Scribd

Scribd

Software Engineer (Backend), Content Foundations

San Francisco · Senior

Sponsorship not specifiedDetected 56 days ago
PythonRubyBackend DevelopmentSQLAWSMachine LearningSparkData EngineeringLLMsCollaboration

About the role

  • So what are we looking for in new team members?
  • At Scribd, Inc., we hire for "GRIT." Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee.

Responsibilities

  • Contribute to core content systems: Design and implement features within ingestion pipelines, metadata services, and content processing workflows, with guidance from senior engineers and the EM on scope and trade-offs.
  • Build reliable, observable systems: Implement production-quality services that handle diverse file formats, malformed inputs, retries, asynchronous workflows, and edge cases.
  • Collaborate across teams: Partner with ML Engineering, Search & Discovery, the Content Library squad, and Product to build systems that balance performance, scalability, and user experience.
  • Grow your craft: Learn the domain deeply, take on increasingly ambitious problems, and develop your craft intentionally.
  • Evolving content formats to support downstream AI workflows
  • Design and implement features within ingestion pipelines, metadata services, and content processing workflows, with guidance from senior engineers and the EM on scope and trade-offs.
  • Implement production-quality services that handle diverse file formats, malformed inputs, retries, asynchronous workflows, and edge cases.
  • Partner with ML Engineering, Search & Discovery, the Content Library squad, and Product to build systems that balance performance, scalability, and user experience.
  • 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

  • 4+ years of professional software engineering experience, including exposure to production-scale systems.
  • Experience with backend services, data pipelines, or content-processing systems, depth in any one of these is enough.
  • 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

  • Experience with document formats (PDF, ebooks, markdown) and internals (parsing, OCR, transformation).
  • Familiarity with ML/AI systems (embeddings, chunking, retrieval pipelines).
  • 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
  • and other business and organizational needs.
  • WORKING AT SCRIBD, INC.
  • Employees must have their primary residence in or near one of the following cities.

Skills

  • This posting reflects an approved, open position within the organization.

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
  • Scribd Flex (flexible work model)

Company info

  • The Content Foundations team builds the systems that power how content is uploaded, processed, and delivered across Scribd products.
  • This includes everything from ingestion, metadata extraction, early quality controls, and the core artifacts that power search, recommendations, AI/ML systems, and the reading and listening experience.

This listing is sourced directly from Scribd's careers page and normalized into a canonical job model.