6 hours ago
Zürich, SwitzerlandEntry Level
Base Salary
$134k - $154k/yr
Responsibilities
- Conduct applied machine learning research addressing product and platform challenges.
- Collect, analyze, and synthesize data to develop data-driven machine learning models.
- Write maintainable and efficient code and contribute to testing and code-review practices.
- Apply machine learning techniques, including NLP and graph-based approaches, to ranking and modeling challenges across discovery, ads, and search.
- Design, build, test, and improve recommendation and engagement-prediction models for push, email, and in-app notifications.
- Develop and iterate on large-scale applied machine learning systems using evaluation results to improve performance and reliability.
- Scope, implement, and deliver solutions for moderately complex machine learning problems while escalating risks and tradeoffs.
- Use AI to accelerate analysis and iteration while applying judgment and verification for correctness and quality.
Requirements
- A master's degree in Computer Science, Machine Learning, NLP, Statistics, Information Sciences, or a related field is required.
- Experience with machine learning areas such as ranking, computer vision, NLP, content recommendations, embeddings, or information retrieval.
- Experience with big data technologies such as Hadoop or Spark and scalable real-time systems processing stream data.
- Mastery of at least one systems language, including Java, C++, or Python, or one ML framework, including TensorFlow, PyTorch, or MLflow.
- Experience applying machine learning or AI concepts through research, coursework, projects, or internships.
- Experience conducting research and solving analytical problems.
- Strong cross-functional collaboration and communication skills and comfort solving ambiguous problems.
Benefits
- Hybrid Zurich arrangement requiring in-office collaboration two to three weekdays per week and residence within commuting distance of Zurich.
- Full-time program during typical Monday-Friday business hours.
- The position may be eligible for relocation assistance.
- Information about Pinterest culture and available benefits is provided through the company benefits resources.
Tech Stack
Categories
About Pinterest
Pinterest builds a visual discovery and bookmarking platform where people search, save, and shop ideas across home, fashion, food, and more. The company monetizes primarily through advertising and shopping integrations, using visual search and recommendation systems to connect users and merchants. Founded in 2010 and headquartered in San Francisco, Pinterest is a public company on the NYSE (PINS) with around 482 million monthly users worldwide.