Machine Learning Engineer I

About Pinterest: Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet. Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more. Job Duties: Build cutting edge technology using machine learning to personalize Pinterest. Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (E.g. Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas. Use data driven methods and leverage the unique properties of our data to improve recommendations for Pinners. Work in a high-impact environment with quick experimentation and product launches. Write clean, efficient, and sustainable code to power the ads marketplace ecosystem. Scope and independently solve moderately complex problems. Telecommuting is permitted. Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or closely related quantitative discipline and one (1) year of experience in the job offered or in any occupation in related field Special Skill Requirements: (1) Natural Language Processing; (2) Python; (3) Deep Learning; (4) PyTorch; (5) TensorFlow; (6) Graph Neural Networks; (7) Spark; (8) Hive; (9) Computer Vision; and (10) A/B Testing. Any suitable combination of education, training and/or experience is acceptable. Telecommuting is permitted.

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit.