Responsibilities
- Design and build scalable systems to extract, enrich, and process metadata from millions of documents, images, and audio content.
- Leverage LLMs to integrate capabilities like summarization, classification, extraction, and enrichment into metadata pipelines.
- Collaborate with cross-functional teams, including ML engineers and product managers, to deliver scalable, efficient, and reliable metadata solutions.
- Optimize and refactor existing systems for performance, scalability, and reliability.
- Ensure data accuracy, integrity, and quality through automated validation and monitoring.
- Participate in code reviews, ensuring best practices are followed and maintaining high-quality standards in the codebase.
- Manage and maintain data pipelines, security and infrastructure
Requirements
- 4+ years of professional software engineering experience
- Proficiency in Python, Scala, Ruby, or similar languages
- Experience designing and building distributed systems at scale
- Hands-on experience building, deploying, and optimizing solutions using ECS, EKS, or AWS Lambda
- Experience with infrastructure-as-code tools like Terraform (or similar)
- Experience working with a public cloud provider (AWS, Azure, or Google Cloud)
- Familiarity with data processing frameworks like Spark or Databricks for large-scale workloads
- Proven ability to test, profile, and optimize systems for performance, scalability, and reliability
- Bachelor’s degree in Computer Science or equivalent professional experience
Nice to Have
- Experience working with LLMs or integrating ML models into production systems
Work Arrangement
Hybrid — Atlanta, Austin, Boston, Dallas, Denver, Chicago, Houston, Jacksonville, Los Angeles, Miami, New York City, Phoenix, Portland, Sacramento, Salt Lake City, San Diego, San Francisco, Seattle, Washington D.C., Ottawa, Toronto, Vancouver, Mexico City
Benefits at Scribd, Inc.
- 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
Get to Know Scribd, Inc.
- About Scribd, Inc.
- Life at Scribd, Inc.
Working at Scribd, Inc.
Are you currently based in a location where Scribd, Inc. can employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States: Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C. Canada: Ottawa | Toronto | Vancouver Mexico: Mexico City
Interview Process
We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process.
Equal Employment Opportunity
Scribd, Inc. is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas.
Additional Information
- Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location.
- Employees must have their primary residence in or near one of the listed cities.
- Personal information processed during employment engagement is subject to Scribd's Employee and Applicant privacy policy.
