At Myant, we are creating the world’s first textile computing platform, integrating technology directly into the only thing we’ve been wearing our entire life – our clothing. The sensors and actuators embedded within our apparel create your Digital Identity, which will be consumed by those who matter to you - your doctors, coaches, other IoT devices, your family members - without you consciously having to think about it. Imagine a world where you walk into your house and the temperature automatically adjusts to your optimal body temperature, the lights adjust to your mood, or your doctor is aware of the onset of a disease before you even visit. The line between the digital and physical world is becoming increasingly blurry, and we believe textile is the next medium to further bridge that gap.
We’re looking for people who believe in our mission to make wearable technology truly ubiquitous and convenient, so that everyone can benefit from it. We are a cross-functional team solving big challenges at the intersection of fashion, electronics, software, and data science.
We are looking for a talented individual to join the Data Science and Intelligent Systems team. The focus of this position is on Biometric Algorithms. The team’s job is to extract meaningful information from signals monitored and acquired by our technology, using a variety of machine learning, pattern recognition, and signal processing techniques. At the same time, one The Data Science and Intelligent Systems team works closely with the hardware, software, UX/UI, and marketing teams.
You are an energetic, passionate full-stack software engineer, who is fueled by big challenges and disruptive technology. You are a quick study, with a strong drive for personal and professional development. You are an excellent communicator, capable of conversing with both technical and non-technical colleagues, and are comfortable contributing to a highly multidisciplinary team. You are a techie at heart, and feel empowered working on technology that makes a difference; being at a startup is the right place for you.
Nice to have (but not a must):