Master's University Grad Machine Learning Engineer 2026 (USA)
Pinterest is a platform that inspires creativity and planning for lasting memories. As a Machine Learning Engineer, you will tackle challenges in machine learning and artificial intelligence, contributing to personalized experiences and large-scale recommendation systems.
Responsibilities
- Contribute to cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
- Collect, analyze, and synthesize findings from data and build intelligent data-driven model
- Write clean, efficient, and sustainable code
- Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
- Design, build, and test models to predict engagement for notifications (push, emails, in-app notifications)
- Build content recommendation systems to power our push, email, and in-app notifications
- Work on state-of-the-art large-scale applied machine learning projects
- Scope and independently solve moderately complex problems
Skills
- Master's in Computer Science, ML, NLP, Statistics, Information Sciences or related field required
- Machine Learning experience (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc)
- Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
- Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
- Cross-functional collaborator and strong communicator
- Comfortable solving ambiguous problems and adapting to a dynamic environment
- Experience in research and in solving analytical problems
Benefits
- Equity
Company Overview
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