Remote New

Distinguished Engineer

Pinterest
relocation assistance
United States
Jul 24, 2025
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 theflexibility 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. #LI-HYBRID #LI-DM57 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. US based applicants only $269,373 — $554,591 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.