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Research Engineer/Scientist - Mountain View, United States - Omega Solutions Inc
Description
Job DescriptionSamsung KNOX ) is Samsung's guarantee of security, and a secure device gives you the freedom to work and play how, where, and when you want.
Samsung Knox consists of a highly secure platform built into Samsung devices and a set of solutions that leverage this platform.
Whether you would like to keep your personal photos private, or remotely manage a batch of business smartphones, Knox has you covered.
Come join the Samsung KNOX team and help us define and develop the future core technologies for Samsung devices and servicesPosition Summary:
The successful candidate will deep dive into Samsung connected-things eco system, define Client product concept and prototype, and solve the challenging problems with a combination of techniques in artificial intelligence (AI), mobile computing and security & privacy.
You are expected to research on and develop algorithms and models and will work with other team members to build the next-generation commercial product and service that will greatly improve productivity, user experience and security.
You will have the opportunity to explore cutting-edge technologies and build them into real-world products that serve billions of enterprise and consumer users in their daily usages.
Responsibilities:
Work with product team to propose new products and services for Samsung eco-system (mobile, wearable, appliance, connected car and etc)
Define relevant technical problems to improve existing products and services
Develop proof-of-concept technology demonstrations and conduct experiments to evaluate the performance and robustness
Work in team to implement and deploy the products/services
Research new technologies that could potentially lead to research publication and/or patents
Basic Qualifications:
PhD students in Computer Science, Electrical & Computer Engineering or relevant fields
Solid research background in one of more fields of machine learning and/or deep learning, mobile computing, security and privacy
Hands-on experience in building practical application/solutions using techniques in above mentioned fields
Highly self-motivated, can work independently and also collaboratively
Strong passion in explore new technologies and be always ready to accept new challenges
Preferred Qualifications:
3 year or more industry experience in research and development in related fields is a big plus
Expertise in ubiquitous sensing using mobile devices and/or wearable devices for creating new capability and new experience
Expertise in optimized processing of deep neural network for resource-constrained devices
Expertise in various topics in AI, such as reinforcement learning, transfer learning, continual learning, adversarial machine learning
Expertise in other emerging technologies such as IoT/Blockchain, and etc
Publication record in top venues in related fields
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