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Sr. Machine Learning Engineer, Content Shopping

Toronto🌐 Remote💼 Full-time🗓 2026-06-23 → 2026-07-31

Core

Building machine learning systems to understand shopping-related content across the web, extracting structured product data (price, title, availability, images) to improve Pinterest's content quality, distribution, recommendations, and search.

Role type

Senior Machine Learning Engineer (Content Shopping Mining)

Builds

Large-scale recommendation systems and content extraction pipelines for Pinterest's product experience.

Domain

E-commerce, Web Information Extraction, Natural Language Processing

Deliverable

production ML models

Required skills

Machine learning, language model training and fine-tuning, web crawling and scraping, large-scale data management, agentic coding tools, search and ranking algorithms

Preferred skills

Graph representation learning, reinforcement learning, LLM-powered productivity tools, publications in top-tier ML conferences

Technologies

LLMs, agentic coding tools, web scraping frameworks, data processing pipelines

Responsibilities

Identify and evaluate high-value content sources; build scalable systems to acquire content and extract structured attributes; partner with cross-functional teams to improve content quality; train and deploy language models at scale; design systems for dataset management and model iteration; use AI coding tools to accelerate development.

Seniority

Senior, hands-on IC

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