Machine Learning Architect for Wearable Technology

1 week ago


Copenhagen, Copenhagen, Denmark The HubDanske Bank Full time

We are a deep tech startup passionate about developing the next generation of wearables. Our primary focus is on creating a wearable wristband that can auto-track calories consumed without manual meal registration. We believe this innovation has huge market potential, moving away from traditional vital sign sensors and expanding the range of sensors to unlock human body secrets.

We have working prototypes and have successfully demonstrated our concept in laboratory settings. Now we're preparing for closed customer testing, where test participants will wear our prototype as a normal smartwatch in real-world scenarios. This testing phase is expected to significantly scale our data collection, allowing us to develop and train more advanced algorithms. To achieve this goal, we need an experienced machine learning engineer who can lead our algorithm development efforts.

The ideal candidate will have experience with rapid prototyping, iterative development, and developing algorithms from scratch. Strong problem-solving skills, analytical mindset, and eagerness to learn are also essential requirements. Additionally, we value team players who work collaboratively and thrive in a fast-paced environment.

Preferred skills:

  • Experience with Python
  • Rapid prototyping and iterative development
  • Developing algorithms from scratch
  • Strong problem-solving skills
  • Analytical mindset
  • Eagerness to learn

Nice to have:

  • Understanding of math/statistics
  • Basic knowledge of time-series data
  • Familiarity with GitLab


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