Hi there. We are dQmetrics, and we are looking for a Machine Learning engineer who can lead our algorithm development.

We are developing a wearable wristband that can auto-track the calories consumed - without manual meal registration. The goal is to make lasting weight change possible for slightly obese individuals. We have working prototypes, and we just finished our proof of technology where we showed that the concept works in laboratory settings, where the test persons are sitting still. Now we are working on getting ready for closed customer testing, where test persons will wear our prototype as a normal smartwatch in real world settings. As a result of the closed customer testing, we expect to scale our data collection significantly, which allows us to develop and train more advanced algorithms. We need your help to take our algorithms to the next level, so our test users can get accurate calorie predictions continuously.

We are looking to raise our first investment round in the coming 3-6 months. When we raise our first round, we can offer equity and a salary that will be able to sustain you. In the mean time we expect the position to be part time with around 5- to 20-hours per week. During this period, you will start earning vested equity, but the position will be unpaid. We are quite flexible around the part time period and take your situation into account.

What’s in it for you?

• Impactful Work: We are pushing the technology frontier with a new product that can make a real difference for people living with obesity.

• Critical role for the product and company: Your algorithms will be an essential part of our product and company.

• Continuous Growth: You get ownership and influence over the design, development and operations of our algorithms.

• Collaborative Culture: Thrive in a team that cares. Our environment is built on collaboration, mutual respect, and a shared passion for innovation.

• Multidisciplinary Team: Being in the wearable space, you get to work at the intersection between Hardware, Software, Machine Learning and the Health Sciences.

About the role:

Our primary algorithm uses sensor-based time-series data. Currently, we have a working operational pipeline, with data pre-processing, feature engineering, training and deployment of our algorithm. In the beginning, the primary focus will be on developing and training a new neural net model for our calorie-prediction algorithm. Over time, we need additional algorithms to support new features and insights to the users.

On the short term we are looking for someone who can make things work fast, and do iterations to improve our algorithms. As our company grows, you’ll have the chance to shape your future role based on your interests—whether that means leading our data science efforts, focusing on building new algorithms, or improving the operations, or carving out a new path that aligns with your passions and strengths.

About dQmetrics:

We’re an early-stage deep tech startup and we are passionate about developing the next generation of wearables. We believe, the wearables industry is just getting started, and that there is a huge market opportunity in moving away from traditional vital sign sensors and expand the range of sensors to unlock the secrets of the human body. Currently we are a team of two. We got the business background and the hardware developer profile covered. Besides you, we are looking to onboard a Software engineer.

Preferred skills:

• Experience with rapid prototyping and iterative development: We’re looking for someone who can quickly turn ideas into functional prototypes and continuously improve them.

• Experience with developing algorithms from scratch, and seeing the process through to production and continuous improvement of the algorithm

• Experience with Python

• Strong problem-solving skills and an analytical mindset

• Eagerness to learn and a proactive attitude

• Works well in a team 

Nice to have:

• A great math/statistics understanding

• A basic understanding of time-series data

• General knowledge about GitLab is a plus

Are you the co-founder we are looking for?

Then, we would love to hear from you. Applications are reviewed continuously.