Senior ML Engineer - Personalization & Recommendations Remote

Devconnectplatform; United States; Remote; USD 139,000 - 286,000; Full time

Job summary

Pinterest is seeking a Machine Learning Engineer for Core Engineering to build and deploy large-scale personalization models and recommender systems. The role involves collaborating across teams to experiment and improve ML models for Homefeed, Ads, Growth, Shopping, and Search, with a focus on data-driven methods and scalable pipelines.

Ideal candidates have 2+ years in ML, strong experience with data processing systems, and a background in CS or related fields.

Qualifications

• 2+ years of industry experience applying machine learning methods.
• End-to-end experience with data pipelines and large-scale ML systems.
• Bachelor’s degree in CS or related field.
• Nice to have: MS/PhD and publications.

Responsibilities

• Build cutting-edge ML technology to personalize Pinterest.
• Collaborate with teams across Pinterest to improve ML models for product surfaces.
• Use data-driven methods and leverage data properties to improve candidates retrieval.
• Work in a high-impact environment with rapid experimentation and product launches.

Skills

Machine learning

Deep learning

Recommender systems

Natural language processing

Graph representation learning

Data modeling

Education

Bachelor's degree in computer science, machine learning, statistics, or related field

Tools

Hadoop

Spark

Cursor

Copilot

Codex

Job description

Pinterest is seeking a Machine Learning Engineer for Core Engineering to build and deploy large-scale personalization models and recommender systems. The role involves collaborating across teams to experiment and improve ML models for Homefeed, Ads, Growth, Shopping, and Search, with a focus on data-driven methods and scalable pipelines.

Ideal candidates have 2+ years in ML, strong experience with data processing systems, and a background in CS or related fields.