Machine Learning Intern 2027 (Zurich)

Machine Learning Internship 2027

Pinterest is seeking a Machine Learning Intern in Zurich to apply machine learning and AI to product and engineering challenges. Work with engineering, product and data teams to prototype, evaluate and improve ML-powered features and discovery experiences, with guidance from experienced engineers.

Responsibilities

• Own a scoped machine learning project from problem definition through experimentation, implementation and communication of results, with manager and team guidance.
• Contribute to applied machine learning and AI research that informs Pinterest product experiences.
• Collect, analyze and synthesize data to develop data-driven machine learning models.
• Write clean, efficient and maintainable code with appropriate documentation and testing.
• Apply relevant techniques, including natural language processing or graph-based approaches, to modeling and ranking problems across discovery, ads and search.
• Break down scoped technical problems, propose approaches and implement solutions with team guidance.
• Deliver assigned milestones, share progress and findings, and seek guidance when needed.
• Use AI to accelerate analysis and iteration while applying judgment and verification to ensure correctness and quality.

Qualifications

• Working toward a Master's or PhD in Computer Science, ML, NLP, Statistics, Information Sciences or a related field.
• Experience applying machine learning or AI concepts through research, coursework, projects or internships.
• Knowledge of machine learning, such as ranking, computer vision, NLP, content recommendations, embeddings and information retrieval.
• Experience with big data technologies, such as Hadoop or Spark, and scalable real-time systems that process streaming data.
• Proficiency in at least one systems language—Java, C++ or Python—or one ML framework—TensorFlow, PyTorch or MLflow.
• Experience in research and solving analytical problems.
• Strong communication and teamwork skills, with the ability to find solutions to open-ended problems.

Working Arrangement

• Full-time internship during typical business hours, Monday through Friday.
• Based in Zurich, with in-person collaboration required 2–3 weekdays per week. Candidates must be within commuting distance of Zurich.
• This position may be eligible for relocation assistance.

Interview and Application Requirements

• Interviews explore foundational skills and how candidates collaborate with AI. Candidates must be able to explain their approach and reasoning.
• Information submitted in the application and throughout hiring must be true, accurate and complete. False statements, omissions or misrepresentations may result in disqualification or termination if discovered after hire.
• Applicants requiring medical or religious accommodation during the application process may request support through the provided form.