2 months ago
Toronto, CanadaSenior
Responsibilities
- Build deep learning and machine learning technology to personalize Pinterest.
- Partner with cross-functional teams to experiment with and improve ML models across Homefeed, Ads, Growth, Shopping, and Search.
- Use data-driven methods to improve candidate retrieval.
- Build and operate data processing pipelines and large-scale machine learning systems.
- Work in a rapid experimentation and product launch environment while tracking recommendation-system trends.
Requirements
- 4+ years of industry experience applying machine learning methods, including user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, or graph representation learning.
- End-to-end hands-on experience building data processing pipelines, large-scale machine learning systems, and big data technologies such as Hadoop or Spark.
- Degree in computer science, machine learning, statistics, or a related field.
- Preferred qualifications include publications at top ML conferences, expertise in scalable real-time stream-processing systems, and an MS or PhD in a related field or equivalent experience.
- Experience with Cursor, Copilot, Codex, or similar AI coding assistants and familiarity with LLM-powered productivity tools are preferred.
Benefits
- Remote working model.
- The position is not eligible for relocation assistance.
Tech Stack
Categories
About Pinterest
Pinterest builds a visual discovery and bookmarking platform where people search, save, and shop ideas across home, fashion, food, and more. The company monetizes primarily through advertising and shopping integrations, using visual search and recommendation systems to connect users and merchants. Founded in 2010 and headquartered in San Francisco, Pinterest is a public company on the NYSE (PINS) with around 482 million monthly users worldwide.