About the job
About Scribd:
At Scribd Inc. (pronounced “scribbed”), we're on a mission to ignite human curiosity and foster a world enriched with stories and knowledge. As part of our dynamic team, you'll contribute to democratizing the exchange of ideas and empowering collective expertise through our innovative products: Everand, Scribd, Slideshare, and Fable.
This job posting reflects an open and approved position within our organization.
We cultivate a culture where authenticity and boldness are celebrated; where we engage in thoughtful debate and commit to embracing unexpected challenges; and where every team member is empowered to take initiative with the customer at the forefront of our priorities.
Our workplace structure emphasizes a balance between individual flexibility and community engagement. With our Scribd Flex benefit, employees—together with their managers—can choose the work style that best fits their personal needs. We prioritize intentional in-person interactions to enhance collaboration, culture, and connection, which is why occasional in-office attendance is required for all Scribd employees, regardless of their work location.
What are we looking for in new team members? We value “GRIT,” defined as the intersection of passion and perseverance towards long-term goals. At Scribd Inc., we believe this can unlock immense potential in our employees. We seek individuals who are adept at setting and achieving Goals, delivering Results in their responsibilities, providing Innovative solutions, and positively impacting the broader Team through collaboration and a positive attitude.
About the Team:
Our Machine Learning team is dedicated to developing the platform and product applications that drive personalized discovery, recommendations, and generative AI capabilities across Scribd, Slideshare, and Everand. The ML team works on the Orion ML Platform, which provides essential ML infrastructure, including a feature store, model registry, model inference systems, and embedding-based retrieval (EBR). They collaborate closely with the Product team to deliver seamless integrations of ML into user-facing features such as recommendations and real-time personalization.
