PhD University Grad Machine Learning Engineer

Job Overview

As a Machine Learning Engineer at Pinterest, you’ll work on tackling new challenges in machine learning and artificial intelligence. We are building the world’s first discovery engine, serving up millions of recommendations to an incredibly loyal user base. At the same time, our teams are building one of the fastest growing online ad platforms, and our success depends on mining rich user interest data that helps us connect users with highly relevant advertisers. In this role, you can join a team in any of the following areas: image recognition, user modeling, recommender systems, natural language processing, and big data analytics. As you kickstart your career at Pinterest, you’ll help us maneuver through crazy growth and insane scale while pinpointing tomorrow’s engineering challenges.

What you’ll do:

Write clean, efficient, and sustainable code

Break down complex problems and implement creative algorithms using state-of-the-art techniques

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

Strong communicator and team player. Being able to find solutions for open-ended problems

Mastery of at least one programming languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)

Passion for applied ML and the Pinterest product

What we’re looking for:

PhD in Computer Science, Mathematics, Statistics, or another related field

Experience working on production machine learning systems at scale, data mining, ads 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

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