Principal Data Scientist – Deepfake Detection

Overview

Microsoft Security is dedicated to creating a safer digital world. As a Principal Data Scientist – Deepfake Detection, you will work on developing, prototyping, and implementing solutions focused on detecting deepfakes and social engineering threats in audio/video mediums.

Key Responsibilities

• Collaborate with partner teams to safeguard enterprise customers.
• Drive research and experimentation on synthetic A/V detection.
• Develop evaluation protocols and benchmark detection methods.
• Implement and support production ML models and heuristics.
• Participate in on-call rotation and incident response as necessary.

What You Bring

You should have extensive experience in security research, ML for audio/video analysis, and familiarity with Python and ML frameworks. A strong academic background coupled with hands-on experience in production systems is essential.

Preferred Qualifications

• Publications, patents, or presentations in relevant fields.
• Experience with big data platforms and synthetic media detection.
• Expertise in adversarial ML and real time performance constraints.

Microsoft Culture & Values

At Microsoft, a growth mindset, collaboration, and accountability drive everyday innovation and inclusion, ensuring every team member can thrive.

Key skills/competency

• Deepfake Detection
• ML Systems
• Audio/Video Analysis
• Security Research
• Data Science
• Prototype Development
• Incident Response
• Benchmarking
• Python
• Big Data