Software Engineer I

Summary

Join Pinterest and modernize the ML ecosystem for content recommendation infrastructure. You will design and build scalable feature storage solutions for real-time and batch ML applications. Collaborate with product and engineering teams to understand requirements and incorporate them into the development roadmap. Partner with cross-functional teams to define problems, identify technical challenges, and develop innovative solutions. Stay updated on the latest advancements in ML infrastructure and apply them to enhance Pinterest systems. Develop and implement strategies for efficient data ingestion, data indexing, model training, and serving, ensuring scalability and reliability. This role allows for telecommuting.

Requirements

• Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or closely related quantitative discipline and one (1) year of experience in the job offered or in any occupation in related field
• Python
• Java
• SQL
• Distributed KV System
• Cloud tool on AWS or GCP
• Spark
• Streaming Processing
• Machine learning frameworks
• Tabular Data processing framework such as Pandas
• Distributed Systems
• Machine Learning
• Information Retrieval using Inverted Index
• Jupyter notebooks
• Telecommuting is permitted

Responsibilities

• Modernize the ML ecosystem across Pinterest content recommendation infra with a unified, modern, and scalable ML stack with Pytorch, Spark, Iceberg, and GPU based solution
• Design and build scalable feature storage solutions to support real-time and batch ML applications
• Work with product and engineering teams to understand dynamic requirements, incorporating these into the development roadmap
• Partner with cross-functional teams to define problems, identify technical challenges, and develop innovative solutions
• Stay abreast of the latest advancements in ML infrastructure and apply them to enhance our systems
• Develop and implement strategies for efficient data ingestion, data indexing, model training, and serving, ensuring scalability and reliability
• Telecommuting is permitted