ML Engineer - Personalization & Ads Systems

Pinterest; Seattle (WA); Hybride; USD 163 000 - 286 000; Plein temps

Avantages offerts par ce poste

Equity

Hybrid work model

Résumé du poste

Pinterest is seeking a machine learning engineer to develop and evolve the ML technology stack for Ads. You will work with cross-functional teams to design, train, and deploy models that personalize content across Homefeed, Ads, Growth, Shopping, and Search.

The role emphasizes end-to-end ML systems, scalability, and using LLMs to enhance content understanding within a hybrid work setup.

Qualifications

• 2+ years of industry experience applying machine learning methods.
• Experience building data processing pipelines and large-scale ML systems.
• Practical knowledge of large-scale recommender systems or ads ranking.

Responsabilités

• Build cutting edge ML solutions to personalize Pinterest experiences.
• Partner with teams to improve ML models across product surfaces.
• Use data-driven methods to improve candidate retrieval.
• Work in a high-impact environment with rapid experimentation and launches.
• Keep up with trends in recommendation systems.
• Leverage LLMs to enhance content understanding.

Connaissances

User modeling

Personalization

Recommender systems

Search

Ranking

Natural language processing

Reinforcement learning

Graph representation learning

Formation

Bachelor's degree in CS or related field

Outils

Hadoop

Spark

Description du poste

Pinterest is seeking a machine learning engineer to develop and evolve the ML technology stack for Ads. You will work with cross-functional teams to design, train, and deploy models that personalize content across Homefeed, Ads, Growth, Shopping, and Search.

The role emphasizes end-to-end ML systems, scalability, and using LLMs to enhance content understanding within a hybrid work setup.