Distinguished Engineer

Pinterest TwoTwenty is a small team of engineers, designers, product managers and others dedicated to exploring the future of products at Pinterest. The team’s current work focuses on new ways to help Pinners find and explore their interests. We are using LLMs and other machine learning models to explore new innovative products that impact our business. Since our content ranges across all categories, from food and fashion to books, our dataset is rich with textual and visual content but harnessing these signals at scale is a significant challenge. This role has the opportunity to work on various machine learning and deep learning challenges, build the systems and machine learning models to improve user experience.

What you'll do:

• Improve relevance and the user experience for content consumed within Pinterest, both on the feed and within Closeup.
• Work on state-of-the-art large-scale applied machine learning projects.
• Build end-to-end distribution system for creators’ content and new content formats.
• Apply the latest advances in deep learning and machine learning to personalize Pinterest user's experience.
• Develop new features to improve our user and pin understanding in our models.
• Impact 500M+ monthly active users by developing the next generation of discovery technologies.
• Work in a fast-paced environment with quick experimentation and product launches.

What we're looking for:

• Passionate about recommendation systems and personalization.
• 10+ years experience applying machine learning methods in settings like recommender systems, search, user modeling.
• Experience building pipelines for large scale data processing.
• Deep experience working with LLMs and emergent machine learning technologies.
• Experience with large scale data processing (e.g. Hive, Scalding, Spark, Hadoop, Map-reduce).
• Experience with large scale distributed backend service.
• Experience with Recommender system or User modeling.
• Python, Java.
• C++ (optional).
• Tensorflow/PyTorch (optional).
• Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.

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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