Hi there. We are dQmetrics, and we are looking for a ML engineer co-founder who can lead the development of our ML algorithm.
We are developing a wearable wristband, which can track the daily calorie intake in food automatically - without requiring manual input registration by the user. The wristband collects detailed heat data on the energy which is used to digest and absorb food. Several auxiliary sensors are used to improve the calorie intake estimates. The combined sensor data will be used in the ML algorithm to predict the calorie intake.
We got a working prototype and we started collecting data. The initial data has been promishing and supports our initial assumptions. We started our proof of technology and expect to complete it in the coming 3 months. You will be working closely together with our hardware developer regarding the data structure and the sensor selection. The framework and language for the machine learning algorithm has not been chosen yet.
Tasks and responsibilities:
Exploratory data analysis on the initial data
Design tests for the proof of technology
Design the data structure formats and manage data quality
Design the first version of the ML algorithm
Run tests for the proof of technology
Support implementation of the algorithm in our app and cloud setup
In general, lead the algorithm development
What’s in it for you?
Become co-founder in a startup with a massive commercial potential
You get to build an innovative product, that’s never been done before
Become part of the vibrant and fast paced hardware incubator, Futurebox (which is located in DTU Science Park)
You get to work with ambitious and experienced entrepreneurs
Lots of fun, friday bars and social events
We’re an early-stage hardware startup and machine learning is a core component of our product. We are passionate about developing the next generation of wearables and believe there is a big market opportunity in becoming the best wearable for diet tracking and weight loss.
Today, we are two co-founders. We got the business background and the hardware development covered. Besides you, we are also looking to onboard a co-founder with a biology background, who can bring knowledge of the human body into the team.
You have coded and trained neural networks from scratch
You have a solid understanding of the full cycle of machine learning algorithms, from design and data structure to implementation and optimizations
It's a plus if you have a strong mathematical foundation
It's a plus if you have experience with sensor based time series data
It's a plus if you have a biomedical background or similar
We are actively trying to raise our first 1 million. We expect to get it after 3-6 months at the latest. When we get it, we will be able to offer you a salary plus equity. It would be awesome if you could start on a small scale as soon as possible, but we are quite flexible and account for your situation until you can start full time.
Are you the co-founder we are looking for?
Then, we would love to hear from you. Applications are reviewed continuously.
This job comes with several perks and benefits
Time is precious. Make it count. Morning person or night owl, this job is for you.
Get your caffeine fix to get you started and keep you going.
Social gatherings and games; hang out with your colleagues.
Easy access and treehugger friendly workplace.
We want to take you from good to great.