Senior Machine Learning Engineer

Summary

Join Pinterest and build cutting-edge technology using deep learning and machine learning to personalize the platform. You will collaborate with various teams to improve machine learning models for different product areas, leveraging data-driven methods and the unique characteristics of Pinterest's data. This high-impact role involves quick experimentation and product launches, requiring you to stay current with industry trends in recommendation systems. The position offers telecommuting flexibility. A Master's degree in a related field and two years of relevant experience are required, along with specific skills in areas like user modeling, recommender systems, and various technologies. The salary range is $203,000 - $292,128 per annum, and the position is eligible for equity.

Requirements

• Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or closely related quantitative discipline and two (2) years of experience in the job offered or in any occupation in related field
• User modeling
• Recommender systems
• Natural language processing
• Graph representation
• Hadoop/Spark
• PyTorch
• TensorFlow
• AWS
• Docker
• Airflow
• Golang

Responsibilities

• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
• Partner closely with teams across Pinterest to experiment and improve machine learning models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how machine learning works in different areas
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
• Work in a high-impact environment with quick experimentation and product launches
• Keeping up with industry trends in recommendation systems

Benefits

• Telecommuting is permitted
• Equity