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Mô Tả Công Việc
- 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
Yêu Cầu Công Việc
- 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
Hình thức
Full-Time
Quyền Lợi
- 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
- Health care: Annual health check
- Insurance: Social insurance, health insurance
- Working hour: Mon-Fri 8.00 AM - 6.00 PM
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