Senior ML Data Scientist - Wireless People Sensing

Algorized is a deep-tech company building edge-AI models that enable robots to sense people in real time using wireless sensors. The Senior ML Data Scientist will develop machine-learning, deep-learning, and signal-processing methods for wireless people sensing, design experiments and evaluation approaches, collaborate with software engineering and MLOps, and mentor junior team members.

Responsibilities:

• 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
• Collaborate cross-functionally with software engineers and MLOps on infrastructure development
• Mentor junior team members and contribute to the company's technical direction and data-science practices