11 hours ago
Toronto, CanadaEntry Level
Responsibilities
- Conduct applied machine learning research addressing product and platform challenges.
- Collect, analyze, and synthesize data to develop data-driven machine learning models.
- Apply machine learning techniques, including natural language processing and graph-based approaches, to ranking and modeling challenges.
- Design, build, test, and improve recommendation and engagement-prediction models for push, email, and in-app notifications.
- Develop and iterate on large-scale applied machine learning systems using evaluation results to improve performance and reliability.
- Write maintainable, efficient code and contribute to testing and code-review practices.
- Scope, implement, and deliver solutions for moderately complex ML problems while escalating risks and tradeoffs.
- Use AI to accelerate analysis and iteration while verifying correctness and quality.
Requirements
- Master’s degree in Computer Science, Machine Learning, Natural Language Processing, Statistics, Information Sciences, or a related field.
- Machine learning experience in areas such as ranking, computer vision, NLP, content recommendations, embeddings, or information retrieval.
- Experience with big data technologies such as Hadoop or Spark and scalable real-time systems that process stream data.
- Mastery of at least one systems language—Java, C++, or Python—or one ML framework such as TensorFlow, PyTorch, or MLflow.
- Experience applying machine learning or AI concepts through research, coursework, projects, or internships.
- Experience conducting research and solving analytical problems.
- Strong cross-functional collaboration and communication skills, with comfort solving ambiguous problems in a dynamic environment.
Benefits
- Toronto-based hybrid work arrangement requiring in-office collaboration two to three weekdays per week.
- Position may be eligible for relocation assistance.
- Full-time schedule during typical Monday-Friday business hours.
- Pinterest provides information about company culture and available benefits through its benefits resources.
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.