Machine Learning Engineer II

Summary

Join Pinterest as a key contributor to the product development lifecycle, from initial ideation to final release. You will build visually rich product features, solve complex problems using creative algorithms, and run experiments to enhance the user experience. This role requires a Ph.D. in a relevant quantitative field and expertise in Python, machine learning, deep neural networks, and other specified skills. Telecommuting is permitted. The salary range is $199,534 to $253,692 annually, and the position is eligible for equity. Pinterest is committed to diversity and inclusion.

Requirements

• Ph.D., or foreign equivalent, in Computer Science, Neurobiology, Engineering, or closely related quantitative discipline
• Python
• Machine Learning
• Deep Neural Network
• Algorithms
• Statistical analysis
• Data visualization
• R
• TensorFlow
• PyTorch

Responsibilities

• Contribute to each step of the product development process, from ideation to implementation to release, including rapid prototyping, running A/B tests, and pushing code into production
• Build products and features that enable visually rich experiences
• Spearhead discovers problems and identify potential engineering challenges
• Design and develop clean, efficient, and sustainable software
• Analyze and resolve complex problems and implement creative algorithms
• Interface across the engineering organization to develop new features from scratch
• Run experiments on new and existing features to improve the Pinner experience

Benefits

• Telecommuting is permitted
• Equity