Machine Learning Engineer, EPD Ads

About Pinterest

Millions of people around the world come to Pinterest to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. Pinterest is on a mission to bring everyone the inspiration to create a life they love.

With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, teams are small, mighty, and still growing.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments creativity and amplifies impact.

About the Role

Within the EPD (Engineering, Product, and Design), Ads ML Engineering team connects the dots between the aspirations of Pinners and the products offered by partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What You'll Do

• 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 Pinterest's data to improve candidates retrieval
• Work in a high-impact environment with quick experimentation and product launches
• Keep up with industry trends in recommendation systems
• Leverage LLMs to enhance content understanding

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)
• Bachelor's degree in computer science, machine learning, statistics, 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, marketplace systems

Nice to Have

• 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 realtime systems that process stream data
• Passion for applied ML and the Pinterest product
• Background in computational advertising

Compensation and Benefits

Salary range: $163,418–$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.

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

Working Arrangement

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

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Eligibility

US based applicants only

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 complete the accommodation form for support.

By submitting an application, you certify that all information submitted in your application and throughout the hiring process is true, accurate, and complete to the best of your knowledge. Any false statement, omission, or misrepresentation may disqualify you from employment consideration or result in termination if discovered after hire.