Senior Monetization ML Engineer - Personalization & Ads

Pinterest; Seattle (WA); On-site; USD 190,000 - 332,000; Full time

Job summary

Pinterest is seeking a Machine Learning Engineer to help evolve our Ads ML stack and improve personalization across surfaces. You will work with teams across Pinterest to experiment with models, train on big data, and push the boundaries of recommender systems.

We value hands-on experience with large-scale ML, data pipelines, and cutting-edge AI tooling. US-based applicants will find a collaborative environment that emphasizes impact and learning through rapid experimentation.

Qualifications

• Degree in computer science, statistics, or related field; or equivalent experience.
• Hands-on experience building data processing pipelines and large-scale ML systems.
• Knowledge of recommender systems, ads ranking, and big data technologies (Hadoop/Spark).

Responsibilities

• Build ML models to personalize Pinterest experiences across surfaces.
• Experiment with ML models and data to improve candidate retrieval and ranking.
• Collaborate with cross-functional teams and leverage AI tools for development.

Skills

Machine learning applications

Recommender systems

NLP/LLMs

Data pipelines

Big data processing

Education

CS/Stats degree or equivalent

MS/PhD in ML (nice to have)

Tools

Hadoop/Spark

AI coding assistants

SQL

Job description

Pinterest is seeking a Machine Learning Engineer to help evolve our Ads ML stack and improve personalization across surfaces. You will work with teams across Pinterest to experiment with models, train on big data, and push the boundaries of recommender systems.

We value hands-on experience with large-scale ML, data pipelines, and cutting-edge AI tooling. US-based applicants will find a collaborative environment that emphasizes impact and learning through rapid experimentation.