Staff Machine Learning Engineer, Monetization

Pinterest; Palo Alto (CA); Hybrid; USD 176,000 - 365,000; Full time

Job summary

An established industry player is seeking a seasoned machine learning expert to enhance their ad ranking technology. This role involves innovating within the machine learning technology stack, tackling challenges in user modeling and ad engagement. You will lead projects that improve user ad action predictions and collaborate across teams to implement new ad products. If you're passionate about transforming data into actionable insights and thrive in a dynamic environment, this opportunity is perfect for you. Join a company that values creativity and innovation, offering a flexible workspace to help you achieve your best work.

Benefits

Equity options

Flexible work hours

Inclusive workplace

Professional development opportunities

Qualifications

• 6+ years experience in production ML systems at scale.
• Strong mathematical and statistical skills are essential.

Responsibilities

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

Skills

Machine Learning

Data Mining

NLP

Statistical Analysis

Cross-Functional Collaboration

Education

MS in Computer Science

PhD in Statistics

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. This role involves developing and executing 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 ad ranking and delivery.

Responsibilities:

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

Qualifications:

• 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, and NLP.
• 2+ years of experience leading projects or teams.
• Strong mathematical and statistical skills.
• Excellent cross-functional collaboration and communication skills.
• Background in computational advertising is preferred but not required.

This position is not eligible for relocation assistance.

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Additional Information:

We believe in an equitable, inclusive, and inspiring workplace. The salary range for this position is $176,924–$364,254 USD, based on various factors including location, experience, and skills. The position is also eligible for equity.

At Pinterest, we are committed to inclusion and equal opportunity employment. We consider all qualified applicants without regard to race, color, religion, gender, age, disability, or other protected characteristics. If you require accommodations during the application process, please complete this support form.