Pinterest helps Pinners discover and do what they love. At the core of this discovery experience is Pinterest search. The Search Quality team is focused on making Pinterest search fast, personalized, and relevant for the billions of monthly searches. We seek a Tech Lead for ranking who can drive cross-team engineering efforts to deliver ML-driven product experiences to our Pinners. This role offers the opportunity to work on innovative projects, build large-scale low-latency systems and state-of-the-art machine learning models, and significantly impact our Pinners and business metrics.

What you'll do:

• Design and build ML models that understand user intent and deliver the most relevant pins.
• Utilize state-of-the-art modeling techniques to improve Pinterest search.
• Improve the efficiency and reliability of large-scale data processing and ML inference pipelines.
• Optimize our serving systems to improve latency, capacity, and stability and reduce infrastructure costs.

What we're looking for:

• Languages: Python, Java.
• Machine Learning: PyTorch, TensorFlow.
• Big data processing: Spark, Hive, MapReduce.
• Experience with building deep neural net models, including architecture design, training, and evaluation. 
• 5+ years experience with Recommender system or User modeling, implementing production ML systems at scale.
• 5+ years experience with large-scale distributed backend service.
• Experience in working with Generative AI models.
• Experience in closely collaborating with product managers/designers to ship ML-driven user-facing product. 

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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