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Machine Learning Engineer for Wearable Algorithm Development

2 weeks ago

Copenhagen, Copenhagen, Denmark The HubDanske Bank Full time

We are seeking a highly skilled Machine Learning Engineer to join our team at dQmetrics. As a key member of our development team, you will be responsible for developing and training algorithms for our wearable wristband that can auto-track calories consumed without manual meal registration.

Our primary algorithm uses sensor-based time-series data, and we have a working operational pipeline in place. 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 for users.

The ideal candidate will have experience with rapid prototyping and iterative development, as well as expertise in developing algorithms from scratch and seeing them through to production and continuous improvement. A strong understanding of math/statistics and a basic understanding of time-series data is also desirable.

About the Role

  • Develop and train new algorithms for our wearable wristband

  • Work closely with our development team to integrate new algorithms into our operational pipeline

  • Collaborate with our team to identify areas for improvement and implement changes

About dQmetrics

dQmetrics is an early-stage deep tech startup passionate about developing the next generation of wearables. We believe the wearables industry is just getting started, and there is a huge market opportunity in moving away from traditional vital sign sensors and expanding the range of sensors to unlock the secrets of the human body.