Software Engineer, Machine Learning

This role is based in Zurich, Switzerland.

Responsibilities:

• Build, iterate and optimize models for wearable devices.
• Develop data augmentation techniques to enhance model performance.
• Collaborate with cross-functional teams to integrate ML models into products.
• Evaluate and optimize model performance using various metrics.
• Stay updated with advancements in machine learning and apply knowledge to improve models.
• Document and communicate technical findings to stakeholders.
• Participate in code reviews and contribute to best practices for ML engineering.

Minimum Qualifications:

• Strong experience in machine learning, signal processing, and software development.
• Experience in building and deploying models from high-frequency sensor signals.
• Programming skills in Python.
• Familiarity with signal processing libraries (NumPy, SciPy, Pandas).
• Experience with data visualization tools (Matplotlib, Seaborn, Plotly).
• Experience with ML frameworks (TensorFlow, PyTorch, Keras).
• Understanding of machine learning concepts (supervised/unsupervised learning, regression, classification).
• Proven ability to prioritize and drive impactful work.

Preferred Qualifications:

• Experience with wearable device data or low-level sensor data sources.
• Experience with transfer learning and domain adaptation.
• Familiarity with Explainable AI techniques.
• Certification in machine learning or data science.