Senior ML Data Scientist - Wireless Sensing & Edge AI

Algorized; Etoy; Hybrid; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Algorized, a VC-funded Silicon Valley deep-tech company, is hiring a Senior ML Data Scientist in Etoy, Switzerland. You will design, implement, and refine ML models for wireless people sensing using radar and other sensors, collaborating across data science, software, and MLOps teams to deliver robust production-ready solutions.

The role emphasizes experimentation, advanced signal processing, and applying time-series methods to real-world sensor data, with mentorship responsibilities and

Qualifikationen

• PhD in Data Science, Computer Science, Wireless Communication, Electrical Engineering, Applied Mathematics, Physics.
• At least 3 years of hands-on experience developing machine-learning or data-science solutions for real-world applications.
• Proven expertise in data science and machine learning, with experience applying statistical and learning-based methods to sensor or time-series data.
• Strong knowledge of signal-processing principles and practical experience applying methods such as spectral analysis, filtering, estimation, detection, tracking, or sensor fusion.
• Strong understanding of machine-learning fundamentals, including model development, evaluation, optimization, and generalization.
• Strong Python skills and practical experience with frameworks such as PyTorch, scikit-learn, NumPy, and SciPy.
• Ability to take ownership of open-ended technical problems and move effectively from exploration to validated solutions.
• Excellent collaboration and communication skills, with genuine enthusiasm for solving challenging people-sensing problems.

Aufgaben

• Design, develop, and improve machine-learning models and algorithms for wireless people sensing using radar and other sensor signals.
• Play a key role in developing foundational models that can support multiple people-sensing tasks, environments, and sensor configurations.
• Develop signal-processing, machine-learning, and deep-learning methods that transform wireless sensor signals into accurate and robust people-sensing outputs.
• Design model architectures and learning approaches that capture spatial and temporal patterns in wireless sensor data.
• Design experiments, define evaluation methodologies, and analyze model behavior, limitations, and generalization.
• Evaluate and adapt relevant advances in time-series and representation learning to improve model accuracy, robustness, and generalization across environments and sensor configurations.
• Cross functional collaboration with software engineers and MLOps in infrastructure development.
• Mentor junior team members and contribute to the technical direction and data-science practices of the company.

Kenntnisse

Python

PyTorch

time-series data

signal processing

machine learning

ownership

collaboration

Ausbildung

PhD in Data Science, Computer Science, Wireless Communication, Electrical Engineering, Applied Mathematics, Physics

Tools

PyTorch

scikit-learn

NumPy

SciPy

Jobbeschreibung

Algorized, a VC-funded Silicon Valley deep-tech company, is hiring a Senior ML Data Scientist in Etoy, Switzerland. You will design, implement, and refine ML models for wireless people sensing using radar and other sensors, collaborating across data science, software, and MLOps teams to deliver robust production-ready solutions.

The role emphasizes experimentation, advanced signal processing, and applying time-series methods to real-world sensor data, with mentorship responsibilities and