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 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

MSc/PhD in Data Science, Mathematics, Computer Science or a related field
1+ 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
Experienced in Algorithm design and optimization
Hands on 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
Experience with Generative Adversarial Neural Nets (GAN) preferred
Good familiarity time series models preferred
Ability to work in a hybrid mode with min. 60% in office

Algorized AI Jobs

Latest Jobs

Junior ML & Signal Processing Engineer (Radar/Edge ML)