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Công ty TNHH Earable Việt Nam

We take good care of your sleep

Location

Tầng 3, Tòa nhà Sky City, số 88, Phường Láng Hạ, Quận Đống Đa, Thành phố Hà Nội

Company size

25-99 members

Industry

Nationality

Vietnam

Machine Learning Engineer

Expired

Job Responsibilities

  • 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

Job Requirements

  • 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

Location

Quận Đống Đa, Hà Nội

Level

Senior

Year of experience

3 năm

Job type

Benefits for you

Contribution to a Vietnamese product that can conquer global market

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

Expired