Work with us

08.2024

Hardware Engineer

This is a mid/senior engineering position based in Gdansk, Poland.

Do you want to be involved in building next-gen hardware that will run the most advanced wearable assistant? If you have bags of enthusiasm and family-sized suitcases of expertise then don't hesitate to join our team.

The role would suit somebody with superb Altium or KiCad experience, familiarity with designing low-power ARM-based circuits, and extensive experience of noise-free power supplies. The role will also require to work closely with suppliers, and creating documentation.

To be a perfect candidate you need to:

• Design circuits and test them.
• Document your work.
• Be aware of current and new technologies.
• Be familiar with EMC and CE/FCC standards.
• Drive product quality improvement and implement material cost saving projects.

Who are we?

We are the team of passionate designers and engineers that have created a wearable assistant named Aidlab. It's a device created especially for people interested in health, sport and wellness. Aidlab is not only another activity tracker, but it is the whole system for people spending much time doing fitness and caring about their bodies. With all the functionalities together, it is a reliable sports companion, helping in fitness planning and taking care of the user's health.

Worth noting, that increasing market demand for health data inspired us to build the SDK for programmers, scientists, and researchers. Aidlab SDK allows embedding Aidlab into most devices running on iOS, Android, Windows, Mac OS, and Linux.

Why us?

There is a great distance between imagination and creation. It can be measured in years of innovation, or moments of brilliance. We know that you are one in a million and your knowledge is something, that is irreplaceable in our team. Work with us to increase your potential and do things you always wanted to.

08.2024

Machine Learning Engineer

This is a senior position based in Gdansk, Poland.

Be part of the engineering team responsible for delivering next-generation health-related technologies. Our team directly contributes to the development of ML algorithms across all of Aidlab's products. Specifically, there will be a strong focus on data collection for Sleep Apnea, ECG, and Snoring Detector model evaluation and improvement. In this role, you will be tasked with building mission-critical ML algorithms and to analyze end to end metrics indicating the efficiency of the data collection programs.

Recently we have secured fundings for developing Aidmed, a health tracker for physicians and their patients. We are looking for an enthusiastic, and self-directed ML engineer to improve Aidmed's products.

You’ll work also alongside Research Scientists and Senior Engineers to bring their ideas to life by implementing algorithms, running experiments and building prototypes.

To be a perfect candidate you need to have:

• BA/BS degree in Computer Science, related technical field or equivalent practical experience.
• Experience with one or more general-purpose programming languages including but not limited to C/C++ or Python.
• Experience with linear algebra, calculus, and statistics.
• Experience training and applying Machine Learning models (e.g., Support Vector Machines, Neural Networks).

Who are we?

We are a team of passionate designers and engineers that have created a wearable assistant named Aidlab. It's a device created especially for people interested in health, sport, and wellness. Aidlab is not only another activity tracker, but it is the whole system for people spending much time doing fitness and caring about their bodies. With all the functionalities together, it is a reliable sports companion, helping in fitness planning and taking care of the user's health.

Worth noting, that increasing market demand for health data inspired us to build Aidmed. It's a direct response to the need for effective detection and monitoring of chronic civilization diseases, including sleep apnea, asthma, chronic obstructive pulmonary disease (COPD), and cardiac arrhythmias. The final result will be a system based on artificial intelligence methods, enabling pulmonologists and cardiologists to interpret biosignals collected from the patient's body faster and with better accuracy.