Machine Learning Engineer II

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 ML models for different product areas, leveraging data-driven methods and the unique properties of Pinterest's data. This high-impact role involves quick experimentation and product launches, keeping up with industry trends in recommendation systems. Telecommuting is permitted. The position requires a Bachelor's degree in a related field and four years of experience. Specific skills in Python, SQL, various ML frameworks, and large-scale data processing are essential. The salary range is $200,000-$267,272 per annum, and the position is eligible for equity.

Requirements

• Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field) or closely related quantitative discipline and four (4) years of experience in the job offered or in any occupation in related field
• Python
• SQL
• PyTorch
• Scikit-learn
• Keras
• Tensorflow
• Hadoop
• Spark
• Large Scale Machine Learning System
• Data Processing Pipelines

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 ML models for various product surfaces (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 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