Why Neurobit?

Neurobit is an early stage AI/Health tech startup based in Singapore.

We are a team of experts in neuroscience, machine-learning and brain computer interface building the next generation of sleep data analytics system. We provide clinical grade sleep data analytics to the full spectrum of sleep measurement devices, from in-lab sleep studies to consumer wearable. We work with top universities, hospitals, multi-national wearable companies to deliver our solutions at scale.

It is estimated that 200 million wearables will be shipped in 2020, each one of them will have the hardware capability to collect physiological data for sleep analysis but will lack the technology to do so at high reliability and accuracy. If you are passionate about using AI/ML to solve the biggest challenges we will face as a society and want to touch the lives of millions, please apply for the position.  


Find more at
neurobit.io

AI/ML Engineer (Internship)

  • Duration: 3 to 6 months
  • Location: 79 Ayer Rajah Crescent, Singapore (remote can be considered)
  • Stipend: $500 to $1000 per month
  • Starting date: ASAP

About you and your task:

  • You will help us design, develop, train, test, analyse, and evaluate machine learning algorithms on terabyte scale healthcare time series datasets.

Key qualifications and experience:

  • Proficiency programming in Python and using machine/deep learning libraries like numpy, pandas, scikit-learn, tensorflow and Keras.
  • Experience doing data cleaning, normalization, augmentation, data visualization, metric selection and requirements extraction.
  • Excellent understanding of visual deep learning models – like CNNs, RESNET, U-NETs and quick implementation of these using open-source libraries is strongly preferred.
  • Strong understanding of signal processing methods, filtering, resampling, convolutions etc is preferred.
  • Hacker attitude of putting things together quickly to test a hypothesis is strongly valued.

We like people who take ownership of what they do. As an early stage start-up, we are happy to share as much responsibility as you can take. We want you to be an integral part of what we build. You'll receive a unique blend of creative, technical and commercial exposure while contributing to the future of the of sleep data analytics.

How to apply:

We value an engineering attitude more than academic credentials. Send your resume along with links to relevant projects (like Kaggle submissions) that you have built previously to careers@neurobit.io

Full stack Engineer (Internship)

  • Duration: 3 to 6 months
  • Location: 79 Ayer Rajah Crescent, Singapore (remote can be considered)
  • Stipend: $500 to $1000 per month
  • Starting date: ASAP

About you and your task:

  • Assist in design and development of the web interface to communicate with our core machine learning models, handle user interactions, log usage, manage API requests and payments.
  • Deploy, manage, scale on distributed servers and database systems on cloud platforms (AWS preferred)
  • Maintain uptime, availability, and high performance on production systems that aid real world clinicians in the diagnosis of thousands of patients per month and process terabytes of health data daily.
  • Write unit tests to ensure high quality of code.

Key qualifications and experience:

  • Backend: Python with Django or Flask and SQL database
  • Frontend: React/Angular
  • Good sense of design and UI/UX. Ability to design static pages/design quickly using templates is a plus.
  • Experience building full stack web applications is strongly preferred.
  • Experience with Docker/Kubernetes and AWS is preferred but not necessary.
  • Strong leadership attitude and good communication skills is a must.

We like people who take ownership of what they do. As an early stage start-up, we are happy to share as much responsibility as you can take. We want you to be an integral part of what we build. You'll receive a unique blend of creative, technical and commercial exposure while contributing to the future of the of sleep data analytics.

How to apply:

We value an engineering attitude more than academic credentials. Send your resume along with links to relevant projects that you have built previously to careers@neurobit.io