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Data Scientist

2 months ago

Palo Alto, United States Algorized Full time

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 Data Scientist 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
  • Design tools for data generation and collection from a single radar source and for fusing data from multiple sensors 
  • Manage the machine learning pipeline, including data collection, preprocessing, development, evaluation, and deployment
  • Analyze extensive datasets to identify trends and patterns, and 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

  • MSc/PhD in Data Science, Mathematics, Computer Science or a related field
  • 4+ years hands on experience in a similar position (Radar / LiDAR / Computer vision)
  • Strong ML research background in conjunction with a strong coding experience
  • Startup mentality, solution driven, can do approach
  • Proficiency in Python and in standard ML tools – TensorFlow / PyTorch / Scikit-Learn
  • Proficiency in C/C++
  • Obsessively passionate and inquisitive and seek to solve everyday problems in innovative ways
  • Experience with lightweight / edge ML technologies preferred
  • Good understanding of signal and image processing preferred