Pinterest

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.

Build out the backend for Pinner-facing features to power the future of inspiration on Pinterest. Contribute to and lead each step of the product development process, from ideation to implementation to release. Grow as an engineer by working with world-class peers on varied and high impact projects. Design, develop, and operate large scale, distributed systems and networks.

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.

Build out the backend for Pinner-facing features to power the future of inspiration on Pinterest, contributing to and leading each step of the product development process from ideation to release. Partner with design, product, and backend teams to build end-to-end functionality and suggest new product ideas and features.