What you'll be doing

• Conduct applied machine learning research to solve product and platform challenges.
• Collect, analyze, and synthesize data to build data-driven machine learning models.
• Write maintainable and efficient code; contribute to testing and code-review practices.
• Apply machine learning techniques such as natural language processing and graph-based approaches for modeling and ranking across discovery, ads, and search.
• Design, build, and test recommendation and engagement-prediction models for push, email, and in-app notifications.
• Develop and iterate on large-scale applied machine learning systems to improve model performance and reliability.
• Scope, implement, and deliver solutions for moderately complex ML problems, managing risks and tradeoffs.
• Use AI to accelerate analysis and iteration while ensuring correctness and quality.

Requirements

• Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences, or a related field.
• Experience in machine learning domains such as ranking, computer vision, NLP, content recommendations, embeddings, or information retrieval.
• Experience with big data technologies (e.g., Hadoop, Spark) and scalable real-time stream processing systems.
• Proficiency in at least one systems programming language (Java, C++, Python) or one ML framework (TensorFlow, PyTorch, MLFlow).
• Strong cross-functional collaboration and communication skills.
• Ability to solve ambiguous problems and adapt to a dynamic environment.
• Experience in research and analytical problem solving.
• Willingness to work onsite in Zurich 2-3 days per week; residing within commutable distance.

Nice to haves

• Experience applying machine learning or AI concepts through research, coursework, projects, or internships.

Perks and benefits

• Opportunity to grow technical expertise while contributing to high-impact systems.
• Potential eligibility for relocation assistance.
• Hybrid working model encouraging flexibility and in-person collaboration.
• Competitive salary range of $133,600 to $153,600.
• Inclusive workplace committed to equal opportunity employment.