Title: Research Engineer (Knox Advanced R&D)

Company: Samsung Research America (SRA)

Lab: MPS/ DQA

Location: Mountain View, CA

General Description:

Samsung KNOX™ (https://www.samsungknox.com/) 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 services!

Position Summary:

The successful candidate will deep dive into Samsung connected-things eco system, define novel 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:

• Identify and define technical problems for new/existing Samsung Knox products and services
• Develop machine/deep learning based tools and solution through data processing (acquisition/cleaning/augmentation) and model development (training/validation)
• Develop proof-of-concept technology demonstrations and conduct experiments to evaluate the performance and robustness
• Work in team to deploy and commercialize the solution

Basic Qualifications:

• MS or PhD in Computer Science, Electrical & Computer Engineering, Mathematics or relevant fields with a curriculum focused on machine/deep learning
• 3 years research or work experience in developing machine/deep learning solutions for real-world use cases
• Prior experience of optimizing deep learning based solutions for resource-constrained devices
• Proficiency in model development/validation/implementation for deep learning
• Highly self-motivated, can work independently and also collaboratively

Preferred Qualifications:

• Strong passion in explore new technologies and be always ready to accept new challenges
• Expertise in optimizing deep learning models deployed on resource-constraint devices
• Experience in building facial authentication solution on mobile is highly preferred
• Experience in object detection/recognition/segmentation, image/video analysis , AR/VR, SLAM and etc
• Experience in NLP related technology such as NER and knowledge graph
• Experience in log analysis, anomaly detection is a plus
• Publication record in top venues in related fields