Analyze EEG/EMG/EOG brain signals to predict user states such as focus, stress, emotion, sleep stages, and other relevant information
Develop machine learning models to analyze large amounts of data from different sources and build predictive models that provide insights into user's states and behaviors
Develop and maintain recommendation systems and health assistants using advanced machine learning techniques
Research brain and auditory stimulations for sleep enhancement, cognitive function improvement, psychology treatment and other unlocking brain potentials
Work closely with other team members, including neuroscientists, software engineers, and product managers, to deliver high-quality products and services
Collaborate with cross-functional teams to develop and implement algorithms and models to solve complex problems
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Your skills & qualifications
Bachelor's, Master's degree or higher in Computer Science, Electrical Engineering, or a related field
At least 3 years of experience in building machine learning models and applying machine learning techniques in the industry
Strong programming skills in Python (and/or C/C++) and experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
Optional 1: Strong knowledge of signal processing techniques and/or experience working with EEG brain signals
Optional 2: Experience with natural language processing (c), chatbot and/or recommendation systems,...
Strong analytical and problem-solving skills
Good communication and collaboration skills
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Benefits
Opportunity to learn and develop, chance to companion with a potential company
Clear policy of performance review, awards and promotion
Full salary during probation period
Free lunch at office, free motorbike parking
Paid leave: 12 day off annually
Activities: Teambuilding, happy lunch, happy hour and many interesting cultural activities
