Machine Learning Engineer I

Summary

Join Pinterest as a Machine Learning Engineer and build cutting-edge technology to personalize the user experience. You will collaborate with various teams to improve ML models across different product surfaces, leveraging data-driven methods and the unique properties of Pinterest's data. This high-impact role involves quick experimentation and product launches, requiring you to write clean, efficient, and sustainable code. You will solve moderately complex problems independently, and telecommuting is permitted. The position requires a Master's degree in a related field and one year of relevant experience. A competitive salary is offered, and equity is also available.

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
• Natural Language Processing
• Python
• Deep Learning
• PyTorch
• TensorFlow
• Graph Neural Networks
• Spark
• Hive
• Computer Vision
• A/B Testing

Responsibilities

• 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