Member of Technical Staff, Machine Learning
RunwayFull Time
Senior (5 to 8 years)
Candidates should have experience building and operating services in Go, Python, and Ruby, with a focus on creating fast, reliable, and cost-efficient pipelines. Experience with large-scale A/B and multivariate experiments is necessary, as is the ability to transform diverse datasets into actionable insights. Familiarity with generative AI for conversational recommendations, document understanding, and advanced search capabilities is also required.
The Senior Machine Learning Engineer will design, build, and optimize ML systems for recommendations, search, and generative AI features across the entire lifecycle, from data ingestion to model training, deployment, and monitoring. This role involves collaborating with engineering and analytics teams to build data pipelines on Databricks, training and deploying ML models, running experiments to measure impact, and partnering with product managers, data scientists, and analysts to deliver next-generation AI features like doc-chat and ask-AI.
Digital library and e-book subscription service
Scribd is a digital library and e-book subscription service that provides users with access to a wide variety of reading materials, including e-books, audiobooks, magazines, and documents. Users pay a monthly subscription fee to enjoy unlimited access to this extensive library, which features bestsellers, classic literature, and academic papers. Scribd stands out from competitors like Amazon's Kindle Unlimited and Audible by offering a more diverse range of content types and a user-friendly interface that enhances the reading experience. Additionally, Scribd fosters community engagement through features like ScribdChat, allowing interaction between authors and readers, as well as curated reading lists that highlight relevant content. The company's goal is to serve a broad audience of readers, from casual readers to professionals, by providing a rich and varied digital content library.