Startups · AI

Senior Machine Learning Engineer, Premium Discovery

Scribd · San Francisco · Remote

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About Scribd

Get to the source. Specialized knowledge on any topic, and answers you won’t find anywhere else. Home to the world’s documents, 300M+ and counting. Backed by Y Combinator, CRV and Redpoint.

About the role

We're looking for a Senior Machine Learning Engineer to own recommendations for Fable and grow into the technical lead for Premium recommendations. Fable's recommender today is a collaborative-filtering model built in house. It has served readers well, but it has no real-time signals and no learned ranking, and it can't recommend to new or lapsed readers. Your first big project is to move Fable onto Orion, so Fable and Everand share a modern recommendation stack. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • 5+ years as a professional ML or software engineer, with a track record of shipping production ML systems
  • Hands-on experience building and running recommender systems in production, such as collaborative filtering or matrix factorization, two-tower or embedding retrieval, and learned ranking
  • Experience with large-scale data processing (Spark, Databricks, BigQuery or similar)
  • Experience on at least one major cloud (AWS or GCP), including deploying services on containers (Kubernetes, ECS or similar)
  • Experience designing and analyzing online experiments
  • A record of leading projects that depend on other teams, and of working directly with product managers
More about this role

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.

We 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.

We 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.

So 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...

Read the full posting on Scribd's site ↗

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