Title: Mobile AI/Deep Learning Imaging Research Engineer

Company: Samsung Research America

Lab: MPI

Location: Plano, TX

Lab/Position Summary:

Mobile Processor Innovation (MPI) Lab, Samsung Research America, serves research and development needs for Mobile Communications Business of Samsung Electronics, which leads the global market with innovative technology and design, launching breakthrough products like the Galaxy Fold series, Galaxy Note series, and the Galaxy S series of mobile phones. Our team works hard to create and develop next-generation technologies in the pursuit of continued success as the world’s number one handset provider.

Position Summary

MPI Lab is looking to fill an AI / Deep Learning Imaging R&D role, with the goal of advancing user experience differentiations in Samsung Galaxy mobile camera. As a Deep Learning Expert you will be in charge of inventing cutting edge deep learning model that significantly enhance the mobile camera photography experience such as low light photography, under display camera, AI enhanced photography, and etc. You will also work on demonstrating efficient implementations on upcoming Galaxy mobile platforms by using the hardware’s resources in new and creative ways. You will work with worldwide team to develop product quality solution, and make business impact by delivering the solution in Galaxy flagship smartphones.

Responsibilities:

Identify areas of differentiation and innovation on camera user experience using, deep learning principles
Prototype algorithms on PC and embedded platforms
Understand constraints of mobile platform and use that understanding to deliver feasible and efficient deep learning model to achieve the world best photography experience
Write high quality prototype code that can easily be integrated into production system SW by worldwide teams

Qualifications:

Ph.D. in Electrical Engineering/Computer Engineering/Computer Science with 1+ yrs. of experience preferred or equivalent combination of education, training, and experience in computational imaging
Good understanding of and experience with camera systems on mobile platforms in the following areas: multi-frame-multi-camera computational imaging systems, deep learning, synthetic data generation pipeline
Acute understanding of camera quality and user experience, a keen eye for image quality, and a passion for continuous improvement is a must-have attribute
Hands-on experience with embedded implementation of deep-learning algorithm
Experience in optimizing deep learning network on mobile platform
Understanding of AP and mobile industry and related technical trends on NPU is a plus
Strong communication skills for effective interactions with R&D management as well as peer groups and team members

Desired Skills and Experience:

Strong deep learning and machine learning background in image processing and computational imaging
Ability and willingness to travel internationally
Familiarity with smartphone and other mobile product development
Understanding of inertial sensors and their use for computational imaging is a plus
Experience with Android, especially in building image processing / computer vision apps is a plus
Understanding of HLOS layers, Multimedia SW frameworks and compute paradigms is a plus

Our total rewards programs are designed to motivate and engage exceptional talent. The base pay range for roles at this level is $114,700 and $157,450, but may be higher or lower in other states due to geographic differentials in the labor market. Within the base pay range, individual rates depend on a number of factors—including the role’s function and location as well as the individual’s knowledge, skills, experience, education and training. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well.

Regular full-time employees (salaried or hourly) have access to benefits including: Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more. In addition, regular full-time employees (salaried or hourly) are eligible for MBO bonus compensation, based on company, division, and individual performance.

Additional Information

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This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers.

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