About the job
At Scribd, Inc., we are dedicated to enhancing human comprehension. Our diverse range of products—including Scribd®, Slideshare®, Everand™, and Fable—empowers billions around the globe to transition from mere access to profound insight, practical application, and mastery.
Our Culture
We foster an environment where authenticity and boldness are celebrated. Here, we engage in constructive debates and make commitments, embracing the unexpected as we prioritize our customers’ needs.
We believe that optimal performance stems from a balance between individual flexibility and community connection. With Scribd Flex, employees can select their preferred work styles and locations, fostering collaboration through intentional in-person gatherings. All employees are required to attend occasional in-person meetings, regardless of their remote status.
We seek team members who embody “GRIT”—a blend of passion and perseverance towards long-term goals. This mindset shapes our approach to work: establishing and achieving Goals, delivering Results, innovating with fresh ideas, and contributing positively to our Team dynamics.
Team Overview:
Our ML Data Engineering team drives metadata extraction, enhancement, and content comprehension across all Scribd brands. We handle hundreds of millions of documents and billions of images, providing high-quality metadata that enhances content discovery and fosters trust among millions of users worldwide.
Operating at an impressive scale, we support a variety of data types, including user-generated content, ebooks, and audiobooks. Our work intersects machine learning, data engineering, and distributed systems, collaborating with product and applied research teams to implement scalable ML and LLM solutions in production.
Position Summary:
We are on the lookout for a Software Engineer II with extensive experience in developing event-driven, distributed, and scalable systems using Python. In this capacity, you will design and optimize large-scale data and service pipelines on AWS, crucial for Scribd’s content enrichment and metadata systems. You will collaborate closely with cross-functional teams to create reliable and efficient solutions.

