Staff Machine Learning Engineer, Monetization

Pinterest; California, San Francisco (MO, CA); Hybrid; USD 176,000 - 365,000; Full time

Job summary

Join a forward-thinking company where you can ignite innovation and transform passion into growth. In this exciting role, you will be at the forefront of developing machine learning models that enhance ad ranking and delivery. Collaborate with diverse teams to tackle challenges in user sequence modeling and engagement, while creating state-of-the-art solutions that connect user aspirations with impactful ad experiences. If you're ready to make a difference and thrive in a flexible environment, this opportunity is perfect for you.

Qualifications

• 6+ years of experience in building production ML systems at scale.
• Strong mathematical skills and knowledge of statistical methods.

Responsibilities

• Develop state-of-the-art ML projects for ads ranking.
• Collaborate with product and sales teams to design new ad products.

Skills

Machine Learning

Data Mining

Natural Language Processing (NLP)

Statistical Methods

Cross-Functional Collaboration

Education

MS in Computer Science

PhD in Computer Science

MS in Statistics

PhD in Statistics

Job description

About Pinterest:

Millions of people worldwide visit our platform to find creative ideas, dream about new possibilities, and plan memories that last a lifetime. At Pinterest, our mission is to inspire everyone to create a life they love, starting with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth, celebrate diverse experiences, and enjoy the flexibility to do your best work. Creating a career you love? It's possible.

Role Overview:

Within the Ads Performance team, you will connect the aspirations of Pinners with our partner products. Your responsibilities include developing and executing the vision for the evolution of the machine learning stack for Ads Ranking, covering Candidate Generation, Lightweight Ranker, Engagement Modeling, and Conversion Modeling. You will tackle new challenges such as user sequence modeling, large models, embedding features, model quantization, utility alignment, application of LLM and multi-modal models, and domain-specific challenges like next-gen lightweight ranking beyond two-tower architecture, quota allocation, new engagement type modeling, RoAS optimization, among others, to enhance ML models that power ad ranking and delivery.

What you'll do:

1. Develop state-of-the-art machine learning projects for ads ranking, focusing on lightweight ranker, engagement modeling, or conversion modeling.
2. Design features and build large-scale ML models to improve user ad action prediction with low latency.
3. Create new techniques to infer user interests from online and offline activities.
4. Mine text, visual, and user signals to better understand user intent.
5. Collaborate with product and sales teams to design and implement new ad products.

What we're looking for:

1. MS or PhD in Computer Science, Statistics, or related field.
2. 6+ years of experience building production ML systems at scale, including data mining, search, recommendations, or NLP.
3. 2+ years leading projects or teams.
4. Strong mathematical skills and knowledge of statistical methods.
5. Excellent cross-functional collaboration and communication skills.
6. Background in computational advertising is preferred but not required.

This position is not eligible for relocation assistance.

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Additional Information:

At Pinterest, we believe in an equitable, inclusive, and inspiring workplace. We share the salary range for transparency; the position is also eligible for equity. Final salary depends on location, experience, skills, and other factors.

US-based applicants only. Salary range: $176,924 — $364,254 USD.

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer. We consider qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, age, marital status, veteran status, disability, or genetic information. If you need a medical or religious accommodation during the application process, please complete this form.