Machine Learning Engineer, Monetization Engineering

About the role

Pinterest is a platform where millions of people discover creative ideas, dreams, and plans for memorable moments. We're on a mission to help everyone create the life they love through our innovative products and services. Join us to be part of a dynamic team that combines creativity with technology to make a difference.

Responsibilities

• Build cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest.
• Collaborate closely with teams across Pinterest to experiment and improve machine learning models for various product surfaces such as Homefeed, Ads, Growth, Shopping, and Search.
• Gain knowledge of how ML works in different areas and apply data-driven methods to improve candidate retrieval.
• Work in a high-impact environment with quick experimentation and product launches.
• Stay updated with industry trends in recommendation systems and modern ads ranking, retrieval, targeting, and marketplace systems.
• Leverage Large Language Models (LLMs) to enhance content understanding.

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).
• Bachelor’s degree in computer science, machine learning, statistics, or a related field, or equivalent experience.
• End-to-end hands-on experience with building data processing pipelines, large-scale machine learning systems, and big data technologies (e.g., Hadoop/Spark).
• Practical knowledge of large-scale recommender systems or modern ads ranking, retrieval, targeting, and marketplace systems.

Qualifications

• Nice to have: Publications at top ML conferences, experience using AI coding assistants like Cursor, Copilot, Codex, or similar, familiarity with LLM-powered productivity tools, and expertise in scalable real-time systems that process stream data.

Skills

• Strong foundation in machine learning and deep learning techniques.
• Experience with large-scale recommendation systems and modern ads ranking, retrieval, targeting, and marketplace systems.
• Ability to work collaboratively with cross-functional teams and leverage data-driven approaches.
• Knowledge of LLMs and their applications in content understanding.

Benefits

No specific benefits mentioned in the job posting.

Pay

$163,418—$285,982 USD

Schedule

No specific schedule mentioned in the job posting.

Company

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.

Relocation Statement

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