- Develop and refine our primary algorithm using sensor-based time-series data.
- Design and implement new neural net models for our calorie-prediction algorithm.
- Train and deploy machine learning models to support new features and insights for users.
- Collaborate with the team to shape the future of our algorithm development.
- Experience with rapid prototyping and iterative development.
- Ability to develop algorithms from scratch and see them through to production and continuous improvement.
- Strong problem-solving skills and analytical mindset.
- Eagerness to learn and proactive attitude.
- Effective communication and teamwork skills.
- Proficiency in Python.
- Understanding of math/statistics and time-series data concepts.
- Knowledge of GitLab and experience with collaborative version control.
- Impactful work pushing the technology frontier in a product that makes a real difference for people living with obesity.
- Critical role with ownership and influence over the design, development, and operations of our algorithms.
- Continuous growth opportunities and the chance to shape your future role based on your interests.
- A collaborative culture built on mutual respect, innovation, and passion for wearable technology.
- Opportunities to work at the intersection of hardware, software, machine learning, and health sciences.
ML-engineer co-founder to Wearable Startup - København - The Hub/Danske Bank
Beskrivelse
Job Title: Machine Learning Engineer
About the Role
We are seeking a talented Machine Learning engineer to lead our algorithm development and take our algorithms to the next level.
Our wearable wristband auto-tracks calories consumed without manual meal registration, aiming to make lasting weight change possible for slightly obese individuals. We have working prototypes and have demonstrated the concept's feasibility in laboratory settings. Now, we are preparing for closed customer testing, where test persons will wear our prototype as a normal smartwatch in real-world settings.
This testing is expected to significantly scale our data collection, enabling us to develop and train more advanced algorithms. Your expertise will be crucial in refining our calorie predictions and ensuring accurate results for our test users.