Machine Learning Engineer, Core Engineering

About the role

Pinterest is a platform where millions of people discover creative ideas, dream about new possibilities, and plan for memorable moments. We're dedicated to helping everyone find inspiration to create the life they love through innovative products and services. Join us to be part of a team that combines creativity with technology to enhance user experiences.

What You'll Do

• Build cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest.
• Collaborate with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search).
• Work in a high-impact environment with quick experimentation and product launches.
• Contribute to large-scale recommendation systems.

What We're Looking For

• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning).
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark).
• Bachelor’s degree in computer science, machine learning, statistics, a related field or equivalent experience.
• Nice to have: M.S. or PhD in Machine Learning or related areas, publications at top ML conferences, experience using AI coding assistants, familiarity with LLM-powered productivity tools, expertise in scalable realtime systems, and passion for applied ML and the Pinterest product.

Relocation Statement

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

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.