- About the Position
AI_NM_Full0001_Research Scientist (Privacy-Preserving Machine Learning)
- General Information
Sony AI is seeking research scientists to join our Privacy-Preserving Machine Learning (PPML) team. Our team focuses on fundamental and application research on security and privacy, which include but not limited to federated learning, secure multi-party computation, learning on encrypted data, etc. The role of a research scientist is to conduct innovative research, develop methodologies, design and prototype solutions, and collaborate with engineering teams to empower real-world AI applications (e.g., Imaging&Sensing) in Sony.
- Roles and Responsibilities
●Conduct fundamental and innovative research in privacy and security related areas, including but not limited to federated learning, secure multi-party communication, differential privacy, homomorphic encryption, trusted execution environments, training/inference on encrypted data, adversarial learning, etc.
●Deep understanding of trustworthy AI, privacy and security threats in federated learning, including inference/reconstruction attacks against privacy, targeted/untargeted poisoning attacks against system robustness.
●Identify new privacy-preserving and robust machine learning approaches and rigorously assess their validities.
●Design and prototype secure and privacy-preserving system to empower real-world AI applications in Sony, specifically Imaging&Sensing business.
●Build long-term collaboration with AI, Engineering and Product teams, seek for high-impact opportunities to launch solutions and advance long-term business growths.
●Publish influential research outcomes, give presentations in top-tier conferences and journals.
- Required Qualifications and Skills
●Work experience with a role with primary emphasis on AI privacy and security.
●PhD in Computer Science, Electrical Engineering, Math, Statistics, data science, or other related disciplines.
●Publications or expertise in machine/federated learning, privacy and security, optimization, adversarial learning, computer vision, distributed/decentralized system design, communication efficiency, etc.
●Familiar with deep learning frameworks, e.g., Pytorch, Tensorflow, etc.
●Excellent communication and presentation skills.
●(Preferred) Experience in leading or participating in significant research projects.
●(Preferred) Paper awards in top conferences, or winner of international competition award.
- Working Location
- Tokyo, Japan