Machine Learning Engineer, Search Infrastructure

The Pinterest search engine gets more than 6 billion queries a month, and the search quality team is responsible for the entire lifecycle of a query in the Pinterest search engine, from processing the request to returning the most relevant and engaging results. The search result quality has a significant impact on Pinterest user retention and engagement.

The search quality team works with cutting-edge machine learning technology across all the search stacks, including indexing, retrieval, ranking, blending, content distribution, etc. Our infrastructure for indexing, serving, and machine learning is evolving quickly, and there is ample room for this role to provide technical leadership, design and build the next-generation system architecture, and make a significant impact on our innovation velocity, as well as system scalability and stability.

What you’ll do:

• Build and maintain systems that enable efficient and effective training, testing, and deployment of machine learning models for ranking and retrieval. 
• Collaborate with cross-functional teams to ensure that our search infrastructure meets the needs of our business and users. 
• Optimize our search systems for speed and scalability.
• Develop and maintain metrics and monitoring systems to measure the health and performance of our search infrastructure.

What we’re looking for:

• Strong programming skills in C++, Java and Python.
• Excellent communication skills and the ability to collaborate with cross-functional teams.
• A deep understanding of search engine architectures including token and embedding based retrieval systems, and state-of-the-art ranking algorithms.
• Experience with large scale machine learning systems, such as building auto-retraining flows, serving real-time signals and GPU scale models.
• Experience with distributed systems and high-performance computing, including distributed storage and processing frameworks like Hadoop, Spark, or Kubernetes.

This position is not eligible for relocation assistance.

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