Master's Machine Learning Internship 2027 (USA)

Join Pinterest as a Machine Learning Intern for a 12-week paid internship. You'll work on cutting-edge research in machine learning and artificial intelligence, gaining hands-on experience with production ML systems. The internship offers two start dates in May or June 2027, with remote or hybrid options in various US locations.

- Lead your own project from start to finish, contributing to cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems. - Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product. - Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards.

- Proficiency with AI-native engineering, including the design of agent-friendly codebases - Working towards a Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field - Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow) - Strong communicator and team player. Being able to find solutions for open-ended problems - High degree of autonomy in learning new agent-first development tools - Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability - Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc) - Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints - Experience in research and in solving analytical problems