Machine Learning Engineer
PALO ALTO, CA, USA & SEOUL, KOREA. FULL-TIME
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.
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.
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.
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.