ML Research Intern — NLP & Ranking (Zurich, Hybrid)

Engg; Zürich; Vor Ort; CHF 20.000 - 27.000; Vollzeit

Benefits dieser Stelle

Relocation assistance

PinFlex program

Zusammenfassung

Pinterest is seeking a machine learning internship in Zurich to own scoped ML projects from problem definition through experimentation and results. You will contribute to applied ML research that informs product experiences and develop data-driven models using big data and ML frameworks.

The role requires pursuing a Master’s or PhD in CS/ML/NLP with experience in NLP, ranking, and scalable data systems. Onsite in Zurich with relocation support and a hybrid-friendly setup.

Qualifikationen

• Pursuing master's/PhD in CS/ML/NLP or related field.
• Experience with ML techniques for ranking, CV, NLP, content recommendations.
• Experience with Big Data (Hadoop/Spark) and scalable real-time systems.
• Proficiency in at least one language (Java/C++/Python) or ML framework.
• Strong research background and analytical problem solving.
• Excellent communication and teamwork.

Aufgaben

• Own a scoped ML project from problem definition through experimentation and results.
• Contribute to applied ML and AI research informing product experiences.
• Analyze data to develop data-driven ML models.
• Write clean, maintainable code with tests.
• Apply ML techniques to modeling and ranking across discovery, ads, and search.
• Deliver milestones and share progress with the team.
• Showcase ML/AI experience from coursework, projects or internships.

Kenntnisse

Machine Learning

NLP

Data analysis

Communication

Team work

Ausbildung

Master's or PhD in CS/ML/NLP

Tools

Hadoop

Spark

TensorFlow

PyTorch

Python

Jobbeschreibung

Pinterest is seeking a machine learning internship in Zurich to own scoped ML projects from problem definition through experimentation and results. You will contribute to applied ML research that informs product experiences and develop data-driven models using big data and ML frameworks.

The role requires pursuing a Master’s or PhD in CS/ML/NLP with experience in NLP, ranking, and scalable data systems. Onsite in Zurich with relocation support and a hybrid-friendly setup.