Staff Machine Learning Engineer - Home Relevance

The Homefeed Relevance team’s mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Tech Lead Architect who can drive cross-team engineering efforts for shipping ML-driven product experiences to our Pinners. You'll have the opportunity to work on various innovative projects of new product experiences, build large-scale low-latency systems and state-of-the-art machine learning models, and deliver great impact to our Pinners and business metrics.

What you'll do:

• Improve relevance and the user experience on Homefeed
• Work on state-of-the-art large-scale applied machine learning projects
• Improve the efficiency and reliability of large-scale data processing and ML inference pipeline
• Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost

What we're looking for:

• 5+ years experience with Recommender system or User modeling, implementing production ML systems at scale
• Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow 
• Experience with large scale data processing (e.g. Hive, Scalding, Spark, Hadoop, Map-reduce)
• Understanding of an object-oriented programming language (Java, C++, Python) 
• 5+ years experience with large scale distributed backend systems

Desired skills:

• Experience in working in Deep learning and Generative AI models
• Experience in closely collaborating with product managers / designers to ship ML-driven user-facing product 

This position is not eligible for relocation assistance.

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