Machine Learning Engineer, Monetization Engineering - Remote

Overview

As a Machine Learning Engineer at Pinterest, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads, helping to create personalized experiences for users.

In Short

• Build cutting edge technology using deep learning and machine learning.
• Collaborate with teams to improve ML models across various product surfaces.
• Utilize data-driven methods to enhance candidate retrieval.
• Work in a high-impact environment with quick experimentation.
• Stay updated with industry trends in recommendation systems.
• Leverage LLMs for content understanding.

Requirements

• 2+ years of experience in machine learning methods.
• Degree in computer science, statistics, or related field.
• Hands-on experience with data processing pipelines and large scale ML systems.
• Knowledge of recommender systems and ads ranking.
• Nice to have: M.S. or PhD in Machine Learning.
• Publications at top ML conferences.
• Expertise in scalable realtime systems.
• Passion for applied ML and Pinterest product.
• Background in computational advertising.

Benefits

• Equitable and inclusive workplace.
• Opportunity to work with a large dataset.
• Flexible work model (PinFlex).