{"schemaVersion":"jobsearcher.job.v1","id":"ddfc5f0b8ffae9bc6c42e35d","url":"https://jobsearcher.com/jobs/ddfc5f0b8ffae9bc6c42e35d","canonicalUrl":"https://jobsearcher.com/jobs/ddfc5f0b8ffae9bc6c42e35d","title":"Software Engineer (Backend, Python) - Content Understanding","description":"Scribd, Inc. is on a mission to advance human understanding. Our four products — Scribd, Slideshare, Everand, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise.\nCulture at Scribd, Inc.\nWe support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer.\nWe believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location.\nSo 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. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude.\nThis posting reflects an approved, open position within the organization.\nAbout the team:\nThe ML Content Understanding team powers metadata extraction, enrichment, and content understanding across all Scribd brands. We process hundreds of millions of documents, billions of images, and deliver high-quality metadata to enable content discovery and trust for millions of users worldwide.\nOur systems operate at massive scale, supporting diverse datasets like user-generated content (UGC), ebooks, audiobooks, and more. We work at the intersection of machine learning, data engineering, and distributed systems, collaborating closely with applied research and product teams to deploy scalable ML and LLM-powered solutions in production.\nRole Overview:\nWe’re seeking a Software Engineer II with strong backend development experience and a passion for solving complex data challenges at scale. In this role, you’ll design, build, and optimize distributed systems that extract, enrich, and process metadata for a wide range of content. You’ll work closely with ML engineers, product managers, and cross-functional partners to integrate machine learning models and LLM-based services into production pipelines and deliver impactful, high-performance solutions. This role offers the opportunity to work on cutting-edge generative AI and metadata enrichment problems at a truly global scale.\nTech Stack:\nOur team uses various technologies. The following are the ones that we use on a regular basis: Python, Scala, Ruby on Rails, Airflow, Databricks, Spark, HTTP APIs, AWS (Lambda, ECS, SQS, ElastiCache, Sagemaker, Cloudwatch, Datadog) and Terraform.\nKey Responsibilities:\nDesign and build scalable systems to extract, enrich, and process metadata from millions of documents, images, and audio content.\nLeverage LLMs to integrate capabilities like summarization, classification, extraction, and enrichment into metadata pipelines.\nCollaborate with cross-functional teams, including ML engineers and product managers, to deliver scalable, efficient, and reliable metadata solutions.\nOptimize and refactor existing systems for performance, scalability, and reliability.\nEnsure data accuracy, integrity, and quality through automated validation and monitoring.\nParticipate in code reviews, ensuring best practices are followed and maintaining high-quality standards in the codebase.\nManage and maintain data pipelines, security and infrastructure\nRequirements:\n4+ years of professional software engineering experience\nProficiency in Python, Scala, Ruby, or similar languages\nExperience designing and building distributed systems at scale\nHands-on experience building, deploying, and optimizing solutions using ECS, EKS, or AWS Lambda\nExperience with infrastructure-as-code tools like Terraform (or similar)\nExperience working with a public cloud provider (AWS, Azure, or Google Cloud)\nFamiliarity with data processing frameworks like Spark or Databricks for large-scale workloads\nProven ability to test, profile, and optimize systems for performance, scalability, and reliability\nBachelor’s degree in Computer Science or equivalent professional experience\nBonus: Experience working with LLMs or integrating ML models into production systems\nAt Scribd, Inc., your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States.\nIn the state of California, the reasonably expected salary range is between $126,000 [minimum salary in our lowest geographic market within California] to $196,000 [maximum salary in our highest geographic market within California].\nIn the United States, outside of California, the reasonably expected salary range is between $103,500 [minimum salary in our lowest US geographic market outside of California] to $186,500 [maximum salary in our highest US geographic market outside of California].\nIn Canada, the reasonably expected salary range is between $131,500 CAD[minimum salary in our lowest geographic market] to $174,500 CAD[maximum salary in our highest geographic market].\n\nWe carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.\nWorking at Scribd, Inc.\nAre you currently based in a location where Scribd, Inc. can employ you?\nEmployees 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:\n\nUnited States:\nAtlanta | 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.\nCanada:\nOttawa | Toronto | Vancouver\nMexico:\nMexico City\nBenefits at Scribd, Inc.\nScribd Flex (flexible work model)\nComprehensive health, dental, and vision coverage\nMental health support and disability coverage\nGenerous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals\nPaid parental leave and family support benefits\nRetirement matching and employee equity\nLearning and development programs and professional growth opportunities\nWellness and home office stipends\nComplimentary access to the Scribd, Inc. suite of products\nEnterprise access to leading AI tools\nGet to Know Scribd, Inc.\nAbout Scribd, Inc.\nLife at Scribd, Inc.\nWe 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.\nIf you apply for a job with Scribd or otherwise engage with us in connection with employment (including as an employee, contractor, or other personnel), the personal information we process in that context is subject to our Employee and Applicant Privacy Policy, which is available here.\nScribd, 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. Come join us in building something meaningful.","company":"Scribd","rawCompany":"scribd","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-07-23T15:00:08.083Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer (Backend, Python) - Content Understanding","description":"Scribd, Inc. is on a mission to advance human understanding. Our four products — Scribd, Slideshare, Everand, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise.\nCulture at Scribd, Inc.\nWe support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer.\nWe believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location.\nSo 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. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude.\nThis posting reflects an approved, open position within the organization.\nAbout the team:\nThe ML Content Understanding team powers metadata extraction, enrichment, and content understanding across all Scribd brands. We process hundreds of millions of documents, billions of images, and deliver high-quality metadata to enable content discovery and trust for millions of users worldwide.\nOur systems operate at massive scale, supporting diverse datasets like user-generated content (UGC), ebooks, audiobooks, and more. We work at the intersection of machine learning, data engineering, and distributed systems, collaborating closely with applied research and product teams to deploy scalable ML and LLM-powered solutions in production.\nRole Overview:\nWe’re seeking a Software Engineer II with strong backend development experience and a passion for solving complex data challenges at scale. In this role, you’ll design, build, and optimize distributed systems that extract, enrich, and process metadata for a wide range of content. You’ll work closely with ML engineers, product managers, and cross-functional partners to integrate machine learning models and LLM-based services into production pipelines and deliver impactful, high-performance solutions. This role offers the opportunity to work on cutting-edge generative AI and metadata enrichment problems at a truly global scale.\nTech Stack:\nOur team uses various technologies. The following are the ones that we use on a regular basis: Python, Scala, Ruby on Rails, Airflow, Databricks, Spark, HTTP APIs, AWS (Lambda, ECS, SQS, ElastiCache, Sagemaker, Cloudwatch, Datadog) and Terraform.\nKey Responsibilities:\nDesign and build scalable systems to extract, enrich, and process metadata from millions of documents, images, and audio content.\nLeverage LLMs to integrate capabilities like summarization, classification, extraction, and enrichment into metadata pipelines.\nCollaborate with cross-functional teams, including ML engineers and product managers, to deliver scalable, efficient, and reliable metadata solutions.\nOptimize and refactor existing systems for performance, scalability, and reliability.\nEnsure data accuracy, integrity, and quality through automated validation and monitoring.\nParticipate in code reviews, ensuring best practices are followed and maintaining high-quality standards in the codebase.\nManage and maintain data pipelines, security and infrastructure\nRequirements:\n4+ years of professional software engineering experience\nProficiency in Python, Scala, Ruby, or similar languages\nExperience designing and building distributed systems at scale\nHands-on experience building, deploying, and optimizing solutions using ECS, EKS, or AWS Lambda\nExperience with infrastructure-as-code tools like Terraform (or similar)\nExperience working with a public cloud provider (AWS, Azure, or Google Cloud)\nFamiliarity with data processing frameworks like Spark or Databricks for large-scale workloads\nProven ability to test, profile, and optimize systems for performance, scalability, and reliability\nBachelor’s degree in Computer Science or equivalent professional experience\nBonus: Experience working with LLMs or integrating ML models into production systems\nAt Scribd, Inc., your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States.\nIn the state of California, the reasonably expected salary range is between $126,000 [minimum salary in our lowest geographic market within California] to $196,000 [maximum salary in our highest geographic market within California].\nIn the United States, outside of California, the reasonably expected salary range is between $103,500 [minimum salary in our lowest US geographic market outside of California] to $186,500 [maximum salary in our highest US geographic market outside of California].\nIn Canada, the reasonably expected salary range is between $131,500 CAD[minimum salary in our lowest geographic market] to $174,500 CAD[maximum salary in our highest geographic market].\n\nWe carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.\nWorking at Scribd, Inc.\nAre you currently based in a location where Scribd, Inc. can employ you?\nEmployees 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:\n\nUnited States:\nAtlanta | 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.\nCanada:\nOttawa | Toronto | Vancouver\nMexico:\nMexico City\nBenefits at Scribd, Inc.\nScribd Flex (flexible work model)\nComprehensive health, dental, and vision coverage\nMental health support and disability coverage\nGenerous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals\nPaid parental leave and family support benefits\nRetirement matching and employee equity\nLearning and development programs and professional growth opportunities\nWellness and home office stipends\nComplimentary access to the Scribd, Inc. suite of products\nEnterprise access to leading AI tools\nGet to Know Scribd, Inc.\nAbout Scribd, Inc.\nLife at Scribd, Inc.\nWe 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.\nIf you apply for a job with Scribd or otherwise engage with us in connection with employment (including as an employee, contractor, or other personnel), the personal information we process in that context is subject to our Employee and Applicant Privacy Policy, which is available here.\nScribd, 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. Come join us in building something meaningful.","datePosted":"2026-07-23T15:00:08.083Z","dateModified":"2026-07-23T15:00:08.083Z","hiringOrganization":{"@type":"Organization","name":"Scribd","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ddfc5f0b8ffae9bc6c42e35d"},"url":"https://jobsearcher.com/jobs/ddfc5f0b8ffae9bc6c42e35d"}}