ML Engineer: Large-Scale Personalization & AI

Pinterest; Seattle (WA); On-site; USD 146,000 - 196,000; Full time

Job summary

Pinterest is seeking a skilled ML engineer to advance cutting-edge research and build scalable models for discovery, ads, and search. You will design and test ranking, NLP, and content‑recommendation systems, and you will push the boundaries of AI-assisted product experiences.

Join a collaborative team that values autonomy, rigorous validation, and creative problem‑solving as you deliver personalized experiences for millions of users.

Qualifications

• Master's degree in CS/ML/NLP or related field.
• Experience with ML techniques for ranking, NLP, content recommendations.
• Experience with Hadoop/Spark and scalable real-time systems.
• Proficiency with Java, C++, Python or ML frameworks.
• Ability to work autonomously with AI-native tools.
• Strong analytical and research abilities.
• Excellent communication and collaboration skills.

Responsibilities

• Contribute to cutting-edge research in ML/AI applicable to Pinterest problems.
• Collect, analyze, and synthesize findings from data and build intelligent data-driven models.
• Write clean, efficient, and sustainable code.
• Use ML, NLP, and graph analysis to solve modeling and ranking problems across discovery, ads and search.
• Design, build, and test models to predict engagement for notifications (push, emails, in-app).
• Build content recommendation systems to power push, email, and in-app notifications.
• Work on state-of-the-art large-scale applied ML projects.
• Scope and independently solve moderately complex problems.

Skills

Machine Learning

AI-native engineering

Prompt engineering

Learning agility

Analytical thinking

Communication

Research

Team collaboration

Education

Master's in Computer Science / ML / NLP / Statistics / Information Sciences

Tools

Java

Python

C++

TensorFlow

PyTorch

MLFlow

Hadoop

Spark

Job description

Pinterest is seeking a skilled ML engineer to advance cutting-edge research and build scalable models for discovery, ads, and search. You will design and test ranking, NLP, and content‑recommendation systems, and you will push the boundaries of AI-assisted product experiences.

Join a collaborative team that values autonomy, rigorous validation, and creative problem‑solving as you deliver personalized experiences for millions of users.