Machine Learning Engineer – Biosignal Processing
- Develop algorithms for processing physiological signals
- Build and optimize machine learning models for pattern detection
- Work on real-time data analysis and decision support systems
- Collaborate with hardware and software teams
Hard Skills
- Background in machine learning, data science or a related field (or strong interest)
- Experience with Python and ML frameworks (e.g. PyTorch, TensorFlow)
- Experience with time-series data and signal processing
- Experience with biomedical data is beneficial
Soft Skills
- Analytical thinking and structured problem solving
- Ability to work independently in a startup environment
- Strong ownership and execution focus
Technical Arsenal
Algorithms Biosignal Processing Data Visualization Deep Learning Machine Learning Model Deployment NumPy Python PyTorch TensorFlow Time-Series Analysis
Mindset
- Scientific curiosity
- Continuous learning mentality
- Quality and accuracy mindset
- Innovation through experimentation
- Ownership and accountability
- Collaborative problem solving
- Ethical AI awareness
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