University Grad Machine Learning Engineer 2027 (Zurich)
Core
Develop and improve machine learning systems that power product experiences and discovery, including recommendation and engagement-prediction models.
Role type
Junior IC machine learning engineer (research & applied systems)
Builds
Scalable ML systems for discovery, ads, search, push, email, and in-app notifications
Domain
Social media / Recommendation systems / NLP / Graph-based approaches
Deliverable
production ML models
Required skills
Machine learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval), Big data technologies (Hadoop/Spark), Systems languages (Java, C++, Python) or ML frameworks (Tensorflow, Pytorch, MLFlow), Applied research, Data analysis
Preferred skills
Experience solving ambiguous problems, Adapting to dynamic environments
Technologies
Hadoop, Spark, Tensorflow, Pytorch, MLFlow, Java, C++, Python
Responsibilities
Conduct applied machine learning research to address product challenges, Collect and analyze data to develop ML models, Write maintainable code and contribute to testing practices, Design and test recommendation models, Develop large-scale applied ML systems
Seniority
Junior, entry-level (Master's degree required)
