University Grad Machine Learning Engineer 2027 (Toronto)

📋 Description

• Conduct applied machine learning research to address product and platform challenges at Pinterest.
• Collect, analyze and synthesize data to develop data-driven machine learning models.
• Write maintainable, efficient code and contribute to testing and code-review practices.
• Apply machine learning techniques, including natural language processing and graph-based
• Design, build and test recommendation and engagement-prediction models that improve push, email and
• Develop and iterate on large-scale applied machine learning systems, using evaluation results to

🎯 Requirements

• Master's in Computer Science, ML, NLP, Statistics, Information Sciences or related field required
• Machine Learning experience (ranking, computer vision, NLP, content recommendations, embedding
• Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that
• Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow
• Cross-functional collaborator and strong communicator
• Comfortable solving ambiguous problems and adapting to a dynamic environment

🎁 Benefits

• Relocation assistance may be available for this position
• Pinterest culture and benefits information available at Pinterest careers page