Description
We are seeking Data Research Engineers to join our Multimodal team, where we are building the next generation of foundation models across vision, language, audio, and beyond.
At Microsoft AI, data is at the heart of innovation,and in this role, you will collaborate closely with scientists, engineers, and annotators to curate, analyse, and evaluate diverse multimodal data sources critical to model development.
You'll lead efforts in developing novel data collection strategies, improving dataset quality, understanding data-driven model behaviours, and aligning datasets with ethical and societal values.
This is a cross-disciplinary, high-impact role ideal for engineers who want to push the boundaries of what AI can learn from data, especially in multimodal contexts.
Responsibilities
- 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
Qualifications
- Required Qualifications:
+ 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.) + OR equivalent experience + Experience in data analysis or data engineering + Proficiency in statistics and exploratory data analysis methods + Ability to communicate technical findings effectively to research and product teams
- Preferred Qualifications:
+ 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
The typical base pay range for this role across Switzerland is CHF 183,800.00 – CHF 309,700.00 per year.