Deep Tech Startup Seeks Experienced Algorithm Developer

7 days ago


Copenhagen, Copenhagen, Denmark The HubDanske Bank Full time

dQmetrics is an early-stage deep tech startup focused on developing innovative wearables. Our mission is to create groundbreaking technology that improves people's lives. We're currently seeking a highly skilled machine learning engineer to join our team and lead the development of our calorie-prediction algorithm.

Our primary algorithm utilizes sensor-based time-series data, and we have a working operational pipeline in place. The successful candidate will be responsible for developing and training a new neural net model for our calorie-prediction algorithm. Over time, we'll require additional algorithms to support new features and insights for our users.

We're looking for someone who can make things work efficiently and iterate to improve our algorithms. As our company grows, you'll have the opportunity to shape your future role based on your interests—whether that means leading our data science efforts, focusing on building new algorithms, or improving operations.

About the role:

This full-time position involves leading the development of our machine learning algorithms. You'll work closely with our team to design, develop, and deploy high-quality algorithms that meet our product requirements. Your primary responsibility will be to develop and train a new neural net model for our calorie-prediction algorithm.

Requirements:

  • PhD/Master's degree in Computer Science, Mathematics, Statistics, or related field
  • 5+ years of experience in machine learning engineering
  • Strong background in Python programming
  • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch)
  • Excellent problem-solving skills
  • Strong communication and collaboration skills

We offer a competitive salary, equity, and opportunities for professional growth and development.



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