ML Engineer II: Personalization & Recommender Systems

Pinterest; United States; Remote; USD 215,000 - 286,000; Full time

Job summary

Pinterest is redefining personalized experiences with cutting-edge ML at scale. This role focuses on building and improving models that tailor content and recommendations for millions of users in the Pinterest app.

You will collaborate across teams to experiment with the latest ML approaches, work with data pipelines, and leverage LLMs to advance content understanding and recommendations. Ideal candidates bring a Master’s degree and 3 years of hands-on experience in personalization and

Qualifications

• Master’s degree in CS/DS or related field with 3 years of relevant experience.
• Hands-on experience with user modeling, personalization, and recommender systems.
• Experience with large-scale data pipelines and ML model improvements.

Responsibilities

• Build cutting-edge ML features to personalize Pinterest using advances in deep learning.
• Collaborate with teams to experiment and improve ML models for product surfaces.
• Leverage data, LLMs, and trends to enhance recommendations and content understanding.

Skills

User modeling

Personalization

Recommender systems

Large-scale data pipelines

Education

Master’s degree in Computer Science / Data Science / related field

Tools

Hadoop

Spark

Job description

Pinterest is redefining personalized experiences with cutting-edge ML at scale. This role focuses on building and improving models that tailor content and recommendations for millions of users in the Pinterest app.

You will collaborate across teams to experiment with the latest ML approaches, work with data pipelines, and leverage LLMs to advance content understanding and recommendations. Ideal candidates bring a Master’s degree and 3 years of hands-on experience in personalization and