+2
Top 3 reasons to join us
- Attrached salary
- Promotion opportunities
- Chance to work in global environment
Job description
- Develop machine learning models for EEG/EMG/EOG brain signal recognition, to predict user states such as focus, stress, emotion, sleep stages, and other relevant information
- Analyze, apply signal processing algorithms to, or build models for large amounts of data from different sources 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.
Your skills and experience
- Bachelor's, Master's degree (Ph.D. preferred) or higher in Computer Science, data science, machine learning, 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
Why you'll love working here
- Opportunity to learn and develop, chance to companion with a potential company
- Free lunch at office, free motorbike parking
- Working in a young and professional environment.
- Staying in a friendly and spiritual space (weekly tea break, weekly sports time and annual holiday).
- Creating impactful products for community
- Obtaining guidance and awareness of advanced technologies.
- Have chance to own company shares after 12 months;
- Receiving social insurance according to Vietnamese Government regulations.
Earable Vietnam
View company
CÔNG TY TNHH EARABLE VIỆT NAM
Company type
IT Product
Company size
51-150
employees
Country
Vietnam
Working days
Monday - Friday
Overtime policy
No OT
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