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