What are the responsibilities and job description for the Junior ML & Signal Processing Engineer (Radar/Edge ML) position at Algorized?
About the Company
Algorized is a fast-growing deep tech startup building software platform for people positioning and sensing. We leverage algorithms and edge-ML with any market available communication sensors such as Ultra-Wideband Radar for accurate people tracking, positioning, vital sign detection (breathing, heart-rate), age classifications.
As we continue to rapidly expand, we are seeking a highly skilled Junior ML and Signal Processing Engineer with genuine passion for innovation and experience in developing products from concept to mass deployment. If you are resourceful and have a good grasp of statistics, probability and ML / AI and are ready to join a dynamic fast-growing start-up this unique opportunity is for you!
Key Responsibilities
- Design and implement complex machine learning models and algorithms processing raw radar sensor data and other sensor data to address customer business needs
- Manage the machine learning pipeline, own the process of gathering, extracting, and compiling data across sources via relevant tools and separately format, re-structure, or validate data to ensure quality, and review the datasets to ensure it is ready for analysis
- Analyze extensive datasets to identify trends and patterns and interpret them
- Design tools for synthetic data generation and algorithm validation
- Test and develop new techniques to provide critical insights and communicate them clearly with stakeholders
- Preprocess data for enhanced model accuracy and efficiency of people sensing and tracking
- Build the foundation for platform-based data collection and analytics
- Collaborate with cross-functional teams to integrate data analytics and ML pipeline with the rest of the SW stack on the edge
Minimum Requirements
