Ph.D. degree AND 1 year's experience (or Master's AND 4+ years' experience, or Bachelor's AND 6+ years' experience, or 10+ years of equivalent experience) in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field with specialization in natural language processing/computer vision/multimodal analysis/deep learning/machine learning
Strong algorithmic problem solving and software development skills (Python/Java/C++). Proficiency with open-source tools such as PyTorch Experience with statistical analysis and data visualization tools
Excellent verbal and written communication skills
Preferred/Additional Qualifications:
Publication(s) in top-tier conferences or journals in related fields (e.g., ACL, EMNLP, CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, etc.).
Industry experience with large-scale data processing, distributed computing, or cloud platforms
Demonstrated interest and/or expertise in Responsible AI and fairness considerations
Experience collaborating with teams of diverse technical and cultural backgrounds
Responsibilities
Conduct cutting-edge research to develop Responsible AI definitions, methodologies, algorithms, and models for both the measurement and mitigation of AI risks
Contribute to the development of Responsible AI policies, guidelines, and best practices and ensure the practical application of these guidelines within various AI technology stacks across Microsoft, promoting a consistent approach to Responsible AI
Enable the safe release of new Azure OpenAI Service features and expand and enhance the Azure AI Content Safety Service with new detection technologies
Develop innovative approaches to address AI safety challenges for diverse customer scenarios
Stay abreast of the latest advancements in the field and contribute to the community through publications at top venues