Drowzee’s mission is to contribute towards the elimination of chronic insomnia, using neurotechnology. We have an open spot for a hands-on Biomedical Engineer to join our team of ambitious and hard-working members. If you are motivated by big challenges, curious by nature, structured and consider yourself a doer, you will fit right in.

Role impact

• Develop experiments to validate the product and ensure its efficacy for large numbers of users (100+).
• Design and implement product improvements based on users’ feedback.
• Participate in the entire software development lifecycle, involving coding and debugging.
• Collaborate with front end developer and hardware suppliers.
• Design processes to evaluate EEG headsets performance.

Key characteristics

• Motivated by big challenges.
• Ability to lead and follow.
• Exceptional team working skills and ability to work independently.
• Structured, systematic and delivers on your responsibilities.
• Work fast and build solutions that work in practice.

Key qualifications

• Experience with biological signal processing (EEG, EMG).
• Programming experience – fluency or understanding of JavaScript and React Native.
• Machine Learning experience.
• Experience with designing and building IT infrastructure.
• Previously been part of a product development cycle.

Preferred qualifications

• Interest in sleep/biohacking.
• 1+ years experience as a software developer.
• Experience writing software that interacts with real-time hardware systems.
• Understanding of data structures and architecture design.
• Ability to transform abstract goals into concrete engineering tasks.
• Excellent communication and problem solving skills.

We offer

• Opportunity to work on solving a worldwide problem.
• Chance to be a part of the neurotechnology revolution.
• Prospect of being part of a high-performing environment.
• Competitive base salary, equity, and freedom to work productively.
• Office premise and necessary equipment.
• Free essential medical and care services.
• Insurance & pension.

Application Deadline: October 31, 2020

Tagged as: EEG, Machine Learning, Neuroscience