About this opportunity
Algorized lists this Senior Data Scientist opportunity in campbell, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Algorized is a VC-funded Silicon Valley deep-tech company with Swiss roots building edge-AI models that give robots real-time human awareness using existing wireless sensors - enabling safer human-machine co-presence.
As we continue to scale rapidly, we are looking for a Senior Data Scientist who is genuine passionate about innovation, product development and building robust systems end-to-end. If you thrive in dynamic startup environment, take ownership, and know to seamlessly connect backend, frontend, and embedded systems, we’d love to meet you.
Role Overview
This is a hands-on senior role with significant ownership. You will actively design, implement, and optimize people-sensing models on edge.
Location
On-site/Campbell, CA
Employment Type
Full Time
Responsibilities
Design, improve and implement complex machine learning models and algorithms processing raw radar sensor data and other sensor data to address customer business needs
Manage the ML data pipeline, including data collection, extraction, validation, and preprocessing
Format, restructure, or validate datasets to ensure high data quality, and readiness for analysis
Develop robust data preprocessing methods to enhance model accuracy and efficiency
Analyze extensive datasets to identify trends and patterns and interpret them
Build the foundation for highly scalable data collection and analytics
Design scalable ML pipelines to support sensor-agnostic people-sensing model training, testing, deployment, and monitoring
Implement monitoring tools to track model accuracy, performance, and scaling issues
Qualifications
PhD in Data Science, Mathematics. Computer Science or related field
Experienced in algorithm design and optimization
5+ years hands-on experience in a similar position (3+ for candidates with PhD)
Expertise in sensor fusion, edge AI, or embedded ML models for real-time applications
Experience deploying ML models in C/C++
Good coding skills in Python, familiarity with PyTorch, scikit-learn and other Python ML libraries
Experience with time-series data, sensor data pipelines, or stream processing frameworks
Good understanding of ML model deployment, CI/CD and monitoring frameworks
Excellent teamwork & communication skills, with a passion for innovation and solving complex challenges
Genuine interest in solving challenging people-sensing problems from start to finish
Willingness to travel domestically and internationally for development and on-site customer support
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Worksite address
campbell, CA, 95011, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.