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Machine Learning Engineer Job in United States
LVIS Corp , United States

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1 Year
0 - 0
Job Type
Job Shift
Job Category
Requires Traveling
Career Level
Bachelor's Degree
Total Vacancies
1 Job
Posted on
May 4, 2021
Last Date
Aug 4, 2021

Job Description

Company Description

LVIS is a leader in cutting-edge neural information analysis technologies that can decode brain networks and find cures for neurological diseases. LVIS owns patented technologies and our team includes leaders with strong expertise in neuroscience and engineering from Stanford University. LVIS has been selected to be a member of the Stanford StartX community and the NVIDIA inception program. We have an international team with our headquarter located in Palo Alto, California, USA and we have an office in Gangnam, Seoul, South Korea. We are looking for talented individuals to join us in transforming the neurology health care industry.


  • Develop, experiment, and verify a deep learning model based on signal and image data.
  • Analyze, process, and augment unrefined various signal and image data.
  • Communicate and collaborate with team members including neuroscientists in the development of machine learning models.

Basic Qualifications

  • Familiarity with machine learning algorithms and deep neural networks.
  • 1+ years of experience with one or more deep neural network frameworks (e.g. Tensorflow, Keras, Pytorch, Caffe, MXNET, CNTK, etc.).
  • Strong programming skills in Python, C++, or other programing languages.
  • BS degree in Computer Science, Electrical Engineering, BioEngineering, or similar technical fields.
  • Ability to learn medical and neuroscience domain knowledge quickly.
  • Ability to work independently.
  • Basic English communication skills.

Preferred Qualifications

  • Experiences in neural, medical signal and image processing.
  • Experience with one or more neuroscience study software.
  • Experience in deployment of deep neural network for web applications.
  • 5+ years of experience with one or more deep neural network frameworks and/or Masters or Ph.D degree in related technical discipline.

Other Information

  • Job type: Full-time.
  • U.S. citizens, green card holders, and those authorized to work in the U.S. for any employer will be considered.

Job Specification


Information Technology and Services - Palo Alto, California, United States