Cambridge Residency Programme – Privacy Preserving AI

Key Skills

Aartificial intelligence, Agile methodologies, Deep Learning, Large Language Models - LLMs, Machine learning techniques, NeurIPS, Python Programming

Job Description

M365 Research and the Privacy Preserving Machine Learning Initiative are looking for a researcher to work on privacy and confidentiality aspects of machine learning. 

The role offers the unique opportunity to work in close collaboration with other teams in Azure Research, Microsoft Research (MSR), Microsoft 365 and the Microsoft Security Response Center (MSRC).

The candidate will have freedom to shape their research agenda on topics related to understanding, measuring, and mitigating security and privacy attacks against Machine Learning systems. The candidate will work together with researchers and product teams alike to develop novel techniques based on this research and apply them in real-world scenarios.

Qualifications

Required/Minimum Qualifications:

• Background in machine learning and deep learning; working knowledge of state-of-the-art large language models.
• Familiarity with state-of-the-art practices and methodologies in security and privacy such as differential privacy, membership inference attacks, information flow control, etc.
• Track record of top-tier research, as evidenced by publications in venues such as NeurIPS, ICML, ICLR, SP, CCS, ACL, EMNLP, etc.
• Capability of rapid and accurate prototyping in Python.

Preferred/Additional Qualifications:

• Experience in working with product teams is a plus.

Responsibilities

The successful candidate will undertake cutting-edge research on privacy-preserving machine learning with a focus on natural language models, including the development of theory and experimentation. They will share their findings with product groups and the academic community via publications in recognized venues.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

• Industry leading healthcare
• Educational resources
• Discounts on products and services
• Savings and investments
• Maternity and paternity leave
• Generous time away
• Giving programs
• Opportunities to network and connect