Senior ML Data Scientist - Wireless People Sensing​​

Senior ML Data Scientist - Wireless People Sensing

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Algorized is a VC-funded Silicon Valley deep-tech company with Swiss roots. We build edge-AI models that give robots real-time awareness of people using existing wireless sensors, enabling safer human–machine collaboration.

As we continue to scale, we are looking for a Senior Data Scientist who is passionate about innovation, applied research, and turning complex sensing challenges into robust products. If you thrive in a dynamic startup environment, take ownership, and enjoy working across data science, signal processing, and product development, we would love to meet you.

This is a hybrid or on-site position based in Campbell, CA, USA. Fully remote arrangements are not available. Candidates must be legally authorized to work in Switzerland.

LOCATION

On-Site/Campbell, CA

EMPLOYMENT TYPE

Full Time

Responsibilities

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• 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 membe