Senior Machine Learning Engineer, Growth Science

This is a fully remote position, open to applicants in Canada.

📋 Description

• Develop innovative technology utilizing the latest advancements in deep learning and machine learning to enhance the personalization of Pinterest.

• Collaborate with cross-functional teams at Pinterest to test and refine ML models for Homefeed, Ads, Growth, Shopping, and Search.

• Employ data-driven strategies and distinctive data characteristics to enhance candidate retrieval.

• Operate in a dynamic environment characterized by rapid experimentation and product launches.

• Stay informed about industry trends in recommendation systems.

• Contribute to the creation of personalized experiences and large-scale recommendation systems for Pinterest’s users.

⛳️ Requirements

• Over 4 years of professional experience utilizing machine learning techniques, including user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, or graph representation learning.

• Comprehensive hands-on experience in constructing data processing pipelines, large-scale machine learning systems, and big data technologies such as Hadoop/Spark.

• A degree in computer science, machine learning, statistics, or a related discipline.

• Preferred: Publications in leading ML conferences.

• Preferred: Experience with tools like Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.

• Preferred: Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow enhancement.

• Preferred: Proficiency in scalable real-time systems that handle stream data.

• Preferred: A strong interest in applied ML and the Pinterest product.

• Preferred: MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, a related field, or equivalent experience.

🏝️ Benefits

• Flexibility to perform at your best through Pinterest’s PinFlex working model.

• No relocation assistance is available (the position does not qualify for it).