About the role
Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact and determine the most effective data Develop and maintain scalable data pipelines for multimodal ingestion, pre-processing, filtering, and annotation Analyse real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement Build lightweight tools and workflows for dataset auditing, visualization, and versioning Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or a related technical field AND technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.) Proficiency in statistics and exploratory data analysis methods Ability to communicate technical findings effectively to research and product teams Master's Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.) Familiarity with data processing frameworks such as Spark, Ray, Apache Beam Experience working with large-scale, real-world datasets that are unstructured or semi-structured Software Engineering IC5 - The typical base pay range for this role across Switzerland is CHF 183,800.00 - CHF 309,700.00 per year. Certain roles may be eligible for
benefits and other
compensation.
