Staff Machine Learning Engineer, Monetization

Pinterest; Washington, Seattle (District of Columbia, WA); Hybrid; USD 176,000 - 365,000; Full time

Job summary

An innovative company is seeking a skilled machine learning expert to enhance ad ranking systems. In this pivotal role, you will develop cutting-edge ML models, tackle complex challenges in user intent prediction, and collaborate across teams to create impactful ad products. This position offers the chance to work on state-of-the-art technology while contributing to a mission that inspires creativity and innovation. Join a forward-thinking team that values diverse experiences and fosters a flexible work environment, allowing you to thrive in your career and make a difference.

Qualifications

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

Responsibilities

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

Skills

Machine Learning

Data Mining

NLP

Statistical Methods

Cross-Functional Collaboration

Education

MS in Computer Science

PhD in Computer Science

Job description

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.

Role Overview:

Within the Ads Performance team, we aim to connect the aspirations of Pinners with the products offered by our partners. In this role, you will develop and execute a vision for the evolution of the machine learning technology stack for Ads Ranking, including 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 the ML models powering ads ranking and delivery.

What you'll do:

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

What we're looking for:

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

This position is not eligible for relocation assistance.

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Additional Information:

We believe the workplace should be equitable, inclusive, and inspiring. The salary range for this position is $176,924—$364,254 USD, based on experience, location, and other factors. The position is also eligible for equity.

For more about Pinterest's culture and benefits, click here.

US-based applicants only.

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, disability, or other protected characteristics. Support for accommodations is available during the application process.