Distinguished Engineer
Job Summary
This role involves working on large-scale machine learning projects to enhance content relevance and user experience on Pinterest. It requires expertise in recommendation systems, personalization, and data processing pipelines, with experience in deep learning and emerging ML technologies. Candidates should have extensive experience in building scalable systems and applying machine learning methods in dynamic environments. The position offers opportunities to impact hundreds of millions of users through innovative discovery technologies.
Required Skills
Benefits
Job Description
About Pinterest:
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.
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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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
Our Commitment to Inclusion:
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