Machine Learning Engineer - Recommendations

San Francisco OR Remote US/Canada
Engineering – Recommendations
Full-Time
At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of unique characters as we build the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, and more.
In addition to works from major publishers and top authors, we also create our own original content exclusively for Scribd users.
Our community includes over 1M subscribers in more than 190 countries. Join us in turning screen time into quality time!

The Opportunity
We are looking for exceptional, results-oriented and passionate Machine Learning experts to join our growing Recommendation Team. As an early member of a world-class team, you will lead the way by creating and owning the next generation of machine learning algorithms and end-to-end systems that power the experience for our 6B+ monthly recommendations and 100M+ users around the world.

Qualifications
• 1+ years of experience applying Machine Learning in industry, especially related to Personalization
• Strong background in Machine Learning and Recommender Systems, with deep understanding of supervised and unsupervised methods (collaborative-filtering, content-based, deep learning, reinforcement learning, contextual multi-armed bandit, causal inference)
• Great coding skills and software development experience (spark, scala, python, java, tensorflow)
• Successful track record of ownership in challenging cross-functional projects
• Demonstrated ability to design and build complex systems that have positively impacted the business
• BS in Computer Science, Statistics, or related field

If you are results-oriented, self-driven, motivated to succeed, and are eager to make an impact by working on cutting-edge ML products and shaping Scribd's future, please reach out to us. We are looking forward to talking to you!