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Lead the design and optimization of ML systems at Scribd, managing cross-team projects, mentoring engineers, and shaping technical direction for ML initiatives.

Design and optimize machine learning systems, build scalable data pipelines, and run experiments to improve recommendations for Scribd's products.

The Software Engineer II will design and optimize distributed systems for processing metadata, collaborating closely with cross-functional teams to integrate machine learning models into production pipelines.

The Data Scientist II will develop and deploy machine learning models, collaborating with cross-functional teams to design AI systems for various content classification challenges using NLP and generative models.

As a Staff Data Engineer, you'll design data models and pipelines, mentor engineers, and lead initiatives to enhance Scribd's data platform, ensuring quality and scalability.

Lead market positioning for Scribd's evolution into an applied knowledge platform, collaborating across teams to drive go-to-market strategies and enhance user engagement.

Lead product strategy to enhance subscription growth and retention. Utilize data analytics to identify growth opportunities and optimize the customer journey.

The Senior Product Designer will shape user experiences, design end-to-end products, balance research with intuition, and collaborate closely with cross-functional partners to deliver impactful designs for Scribd's products.

The role involves designing and optimizing scalable backend systems using Python and AWS, focusing on metadata processing for large datasets.

Design, build, and optimize ML systems for recommendations at scale. Collaborate with teams on data pipelines, model development, and experimentation.