Zurich Machine Learning Engineer - AI for Discovery

Pinterest Engineering; Zürich; On-site; CHF 111,000 - 127,000; Full time

Job summary

Pinterest in Zurich seeks a Machine Learning Engineer intern to develop and improve ML systems powering product experiences and discovery. You will partner with engineering, product and design to build, evaluate and iterate on scalable solutions.

The role emphasizes NLP, ranking and data-driven modeling, with exposure to big data technologies and ML frameworks, contributing to reliable, high-impact systems while learning from a collaborative team.

Qualifications

• 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

Responsibilities

• Conduct applied machine learning research to address product and platform challenges at Pinterest.
• Collect, analyze and synthesize data to develop data-driven machine learning models.
• Write maintainable, efficient code and contribute to testing and code-review practices.
• Apply machine learning techniques, including natural language processing and graph-based approaches, to modeling and ranking challenges across discovery, ads and search.
• Design, build and test recommendation and engagement-prediction models that improve push, email and in-app notification experiences.
• Develop and iterate on large-scale applied machine learning systems, using evaluation results to improve model performance and reliability.
• Scope, implement and deliver solutions for moderately complex ML problems, escalating risks and tradeoffs as needed.
• Experience applying machine learning or AI concepts through research, coursework, projects or internships.
• Use AI to accelerate analysis and iteration while applying judgment and verification to ensure correctness and quality.

Skills

Machine learning

NLP

Rankings

Information retrieval

Big data

Education

Master's degree in CS/ML/Statistics

Tools

TensorFlow

PyTorch

MLFlow

Hadoop/Spark

Job description

Pinterest in Zurich seeks a Machine Learning Engineer intern to develop and improve ML systems powering product experiences and discovery. You will partner with engineering, product and design to build, evaluate and iterate on scalable solutions.

The role emphasizes NLP, ranking and data-driven modeling, with exposure to big data technologies and ML frameworks, contributing to reliable, high-impact systems while learning from a collaborative team.