Machine Learning Engineer II

Summary

Join Pinterest and build cutting-edge computer vision technology using deep learning and machine learning to enhance recommender performance and power new user experiences. Partner with cross-functional teams to experiment with and improve machine learning models across various product surfaces. Leverage data-driven methods and the unique properties of Pinterest's data to tailor state-of-the-art computer vision models. Work in a high-impact environment with rapid experimentation and product launches. Stay current with industry trends in recommendation systems. This role offers telecommuting flexibility.

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
• Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field) or closely related quantitative discipline and five (5) years of progressively responsible experience in the job offered or in any occupation in related field
• Python
• Computer Vision
• Machine Learning
• Deep Learning
• Pytorch
• Object Detection
• Segmentation
• CUDA
• PySpark
• Numpy
• Large-scale distributed training
• GPU Inference optimization

Responsibilities

• Build cutting edge computer vision technology using the latest advances in deep learning and machine learning to improve recommender performance at Pinterest and to power new user experience
• 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 tailor the state-of-the-art computer vision model to Pinterest use cases
• Work in a high-impact environment with quick experimentation and product launches
• Keep up with industry trends in recommendation systems

Benefits

• Telecommuting is permitted
• Standard company benefits
• Equity