Machine Learning Engineer, Monetization Engineering

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 the flexibility to do your best work. Creating a career you love? It's Possible.

With more than 500 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, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our 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 our 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)

Degree in computer science, statistics, or related field

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 ads ranking, retrieval, targeting, marketplace systems

Nice to have

M.S. or Ph.D. in Machine Learning or related areas

Publications at top ML conferences

Expertise in scalable real-time systems that process stream data

Passion for applied ML and the Pinterest product

Background in computational advertising

Relocation Statement

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

US based applicants only

$129,818 — $267,272 USD

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

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 or 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 this form for support.

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