AI/ML Job: Machine Learning Engineer, Recommendations

Pinterest

Machine Learning Engineer, Recommendations at Pinterest

San Francisco, California, United States 🇺🇸   (Posted Jul 6 2018)
About the company
Pinterest's mission is to help you discover and do what you love. It’s the biggest dataset of ideas ever assembled, with over 100 billion recipes, home hacks, style inspiration and other ideas to try. More than 250 million people around the world use Pinterest to dream about, plan and prepare for things they want to do in life.

Job position
Permanent

Job description
We work with some of the largest datasets in the world: tailoring over 100 billion Pins, across 1 billion boards, for hundreds of millions of users, all while making billions of recommendations each day. You’ll work on a small team to understand Pinner interests and intent to build the systems and machine learning models that drive recommendations to Pinners at scale. You’ll apply state-of-the-art data mining and machine learning techniques to significantly increase our product search and recommendation relevance capabilities.

What you’ll do :

Design and build machine learning systems that process and classify Internet-scale content

Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery and search

Evaluate potential improvements, prototype, validate, and productionize these strategies

Build and optimize systems, tools, and validation strategies to support new features

Use Big Data technologies (such as Hadoop, Spark, Storm) to build large scale data mining pipelines

Skills & requirements
What we’re looking for :

5+ years of software engineering experience

Experience working on production machine learning systems at scale, data mining, search, ranking, recommendations, and/or natural language processing

Understanding of an object-oriented programming language (Java, C++, Python)

Experience in MapReduce, Hadoop, and/or distributed systems

Instructions how to apply
see the website
[ job website ]

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