Data Scientist II, ML Infrastructure

What this role involves

This role focuses on advancing ML measurement, feature understanding, and causal inference at scale. The data scientist will build production ML pipelines, apply causal inference methods, and develop platform tooling to improve model quality and efficiency. The position requires 2+ years of experience with Python, PyTorch, and distributed compute frameworks.

Skills this posting asks for

• python
• pytorch
• spark
• ray
• airflow
• wandb
• causal inference
• propensity scoring
• ipw
• tmle
• machine learning
• deep learning
• distributed computing

Requirements

• 2 years of experience
• Level: mid

From the employer’s posting

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration t…