Pinterest Job Advertisementsposted 12 days ago
$179,297 - $203,191/Yr
San Francisco, CA

About the position

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 to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

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.

Requirements

  • Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or closely related quantitative discipline.
  • One (1) year of experience in the job offered or in any occupation in related field.

Nice-to-haves

  • 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

Benefits

  • Equity eligibility
  • Transparent salary range
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