About Pinterest:

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.

Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.

Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more. 

Senior Machine Learning Engineer, Content Knowledge Signal

Pinterest helps people Discover and Do the things they love. We have more than 400M monthly active users who actively curate an ecosystem of more than 330B Pins on more than 7B boards, creating a rich human curated graph of immense value.

Pinterest builds an internet scale personalized recommendation engine in 35 languages, which requires a deep understanding of the users and content on our platform. Behind the scenes, the understanding is based on a knowledge graph. The Knowledge Signals team enhances the distribution of Pinterest content by understanding the semantic meaning and engagement in a scalable and timely fashion. As an ML Engineer, You’ll build explicit content understanding signals for pins, queries, boards, creators and items (shopping products), at Pinterest scale.

Example projects of the Content Knowledge Signal team include:

• Build ML models using text and visual information of a pin, identify the most relevant set of text annotations for that pin. These sets of highly relevant annotations are among the most important features used in more than 30 use cases within Pinterest, including key ranking models of Homefeed, Search and Ads.
• Build ML models using text and images of the products, to understand their product categories (bags, shoes, shirts, etc) and their attributes (brand, color, style, etc). They are used to greatly improve relevance for product recommendation on major shopping surfaces. 
• Build ML models to understand search queries, then use them, together with Pin level signals, to boost search relevance. 
• Build graph based embedding as well as explicit annotation to represent the specialties of our native content creators, to improve creator and native content recommendation.
• Build highly efficient and expandable data pipelines to understand engagement data at various entity levels. Such engagement signals are the major feature of the ranking models for our three main Discovery surfaces.  

What you’ll do:

• Build the next generation of content understanding signals using STOA algorithms
• Build signal inference data pipelines in batch and streaming by leveraging ML platforms on Pinterest

What we’re looking for:

• 5+ years of industrial experience in machine learning engineering
• Experience in designing and implementing machine learning algorithms using NLP or computer vision 
• Experience in big data pipelines 
• Experience in streaming systems (Kafka, flink, etc) is a plus
• Understands the importance of and value in creating and executing on best practices as well as keeping up to date with new technologies

This position is not eligible for relocation assistance.

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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. 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 here.

US based applicants only

$114,750—$236,000 USD

Our Commitment to Diversity:

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, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify accessibility@pinterest.com for support.