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WE ARE SONY Our spirit of innovation and challenge has created those special moments that make people say ‘wow’. How? By harnessing the world’s most powerful source of creativity: our people. Because ‘wow’ experiences are never a product of processes or procedures. They’re only made possible by liberating the passion and potential of the truly talented to do what excites them most. So at Sony, you can turn your personal passions into meaningful innovations through the brave risk-taking, smart collaboration and boundless curiosity of your local team. And you can also realize your full professional potential as part of an ambitious global company with the power and reach to touch people’s everyday lives. Including yours. Together, let’s make the world say wow. We are a global organization and seek individuals from a variety of generations, socioeconomic and educational backgrounds, and sexual orientations. Our employees are courageous, unique and diverse. They’re comfortable expressing their thoughts and opinions freely, and possess an unwavering passion and pride to deliver exceptional experiences to our customers. See what our employees are saying about their life at Sony by checking out the hashtag #TeamSony online. If you'd like to join our team in North America visit www.sonyjobs.com or our Global Careers page at http://www.sony.net/SonyInfo/Careers.

09/12/2024
Full time
Research Intern (Privacy-Preserving Machine Learning)
Sony Electronics Schlieren, ZH, Switzerland
Research Intern (Privacy-Preserving Machine Learning) For: Sony AI Location: Zurich, Switzerland Sony AI is seeking research interns to join our Privacy-Preserving Machine Learning (PPML) team. Our team focuses on fundamental and applied research in CV privacy. Our research interns have an opportunity to conduct innovative research and apply their novel ideas to real-world AI applications (e.g., Imaging & Sensing) in Sony. This internship requires a minimum of 3-month duration. The ideal candidate should have an enthusiasm for breakthroughs in secure and privacy-preserving machine learning. You will: Conduct fundamental and innovative research in privacy and security related areas, including but not limited to data anonymization, differential privacy, adversarial training, machine unlearning, homomorphic encryption, federated learning, secure multi-party computation, training/inference on encrypted data, etc. Identify new privacy-preserving and...