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Machine Learning Engineer, Monetization Engineering

San Francisco💼 Full-time💰 $163,418–$163,418🗓 2026-06-13 → 2026-09-26

Core

Develop and execute the vision for the evolution of the machine learning technology stack within Ads to connect user aspirations with partner products.

Role type

Senior IC machine learning engineer (monetization/recommendation systems)

Builds

Large-scale recommendation systems, ads ranking, retrieval, and targeting for Pinterest's Homefeed, Ads, Growth, Shopping, and Search surfaces.

Domain

Social media / Computational advertising / Recommendation systems

Deliverable

production ML models

Required skills

Deep learning, user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, graph representation learning, data processing pipelines, big data technologies (Hadoop/Spark), LLMs for content understanding

Preferred skills

Publications at top ML conferences, experience with AI coding assistants (Cursor, Copilot, Codex), expertise in scalable realtime stream data systems, background in computational advertising

Technologies

Hadoop, Spark, LLMs

Responsibilities

Build cutting-edge technology using deep learning and machine learning; Partner with teams to experiment and improve ML models for various product surfaces; Use data-driven methods to improve candidate retrieval; Keep up with industry trends in recommendation systems; Leverage LLMs to enhance content understanding

Seniority

Mid-level, hands-on IC

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