Machine Learning Intern 2027 (Zurich)

The Machine Learning Intern 2027 position at Pinterest is focused on leveraging machine learning and AI to enhance the company's product and engineering capabilities. Pinterest is a platform that helps millions of users find creative ideas and plan memorable experiences. The company values innovation, growth, and a collaborative environment. The intern will work on various machine learning projects, from defining problems to implementing and communicating results. This involves collaborating with engineering, product, and data teams to develop and improve ML-powered features. The intern will also contribute to research that informs product experiences, analyze data to create machine learning models, and write clean, efficient code. Additionally, the intern will apply machine learning techniques to solve problems in discovery, ads, and search, and will break down technical issues, propose solutions, and deliver project milestones. To qualify for this role, candidates must be pursuing a Master's or PhD degree in a relevant field such as Computer Science, Machine Learning, Natural Language Processing, Statistics, or Information Sciences. Experience with big data technologies like Hadoop/Spark and proficiency in at least one systems language (Java, C++, Python) or one ML framework (TensorFlow, PyTorch, MLFlow) are essential. Strong analytical and problem-solving skills, as well as the ability to communicate effectively and work well in a team, are also required. Nice-to-have skills include experience in research and solving analytical problems. The internship is based in Zurich and requires in-office presence for 2-3 days a week, making it suitable for those within commutable distance. The role offers the opportunity to work on real projects, learn from experienced engineers, and build practical skills in a supportive and inclusive environment. What the role asks for: - Pursuing a Master's or PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field. - Experience with big data technologies (e.g., Hadoop/Spark). - Proficiency in at least one systems language (Java, C++, Python) or one ML framework (TensorFlow, PyTorch, MLFlow). - Experience in research and in solving analytical problems. - Strong communicator and team player.