Head of Vision Intelligence at Samsung Research America

Mountain View, California, United States

Samsung Research America Logo
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Artificial IntelligenceIndustries

Requirements

  • PhD degree and 12+ years’ work experience in Computer Vision related field or equivalent combination of education, training, and experience
  • Understanding of state-of-the-art Computer Vision theories, techniques, optimization strategies (Generative AI Engine & Applications, Image Processing/Search/Generation, Image/Video related solution)
  • Industry experience leading innovative projects in research environments
  • Strong communication skills with Samsung’s global R&D teams and interpersonal skills to manage centers consisting of engineers and researchers
  • Experience and success technically leading teams of machine learning/computer vision specialists, CV-related product development, problem solving and algorithm with deep learning frameworks
  • Strong background in programming
  • Publications in CV-related fields (CVPR, ICCV, ECCV, TPAMI, and etc.) (Nice to have)

Responsibilities

  • Lead AI core technology research and development in order to prepare company’s future and differentiate current business
  • Together with Samsung Research teams, look for opportunities to revolutionize Samsung products with the new AI technology
  • Ensure that Centers publish at top conferences and journals (CVPR, ICCV, ECCV, TPAMI, and similar), satisfy patents & paper goals and organize scientific events (conferences, workshops and challenges)

Skills

Computer Vision
Generative AI
Image Processing
Image Generation
Deep Learning
Machine Learning
Optimization Strategies

Samsung Research America

Develops advanced technology in multiple domains

About Samsung Research America

Samsung Research America specializes in advanced technologies such as next-generation communications, artificial intelligence, digital media, mobile platforms, and digital health. Their innovations include FadeNet, a convolutional neural-network based technology, and the ECG Monitor App, which enables ECG recording using Galaxy Watch for atrial fibrillation screening.

665 Clyde Ave, Mountain View, CA 94043, USAHeadquarters
1988Year Founded
VENTURE_UNKNOWNCompany Stage
HardwareIndustries
501-1,000Employees

Benefits

Onsite Fitness Facility
Subsidized Meals
Coffee Barista Bar
Samsung University
Product Discounts
Dog Friendly Campus
Wellness Programs
Activity Clubs

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