Machine Learning Engineer, Core Engineering

About the role

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact. We’re looking for Machine Learning engineers to build personalized experiences that help over 500 million users discover and plan for a life they love. With 300 billion ideas saved and small, growing teams, you’ll have hands-on access to an incredible vault of data and contribute to large-scale recommendation systems in ways you won’t find anywhere else.

Responsibilities

• Build cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest.
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas.
• Use data-driven methods and leverage the unique properties of our data to improve candidate retrieval.
• Work in a high-impact environment with quick experimentation and product launches.
• Keep up with industry trends in recommendation systems.

Requirements

• 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 Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.
• Expertise in scalable real-time systems that process stream data.
• Passion for applied ML and the Pinterest product.

Benefits

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Pay

US-based applicants only. The base salary range for this position is $138,905—$285,982 USD. 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.

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