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

About the CompanyAlgorized 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 MLAI and are ready to join a dynamic fast-growing start-up this unique opportunity is for you!Key ResponsibilitiesDesign and implement complex machine learning models and algorithms processing raw radar sensor data and other sensor data to address customer business needsManage 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 analysisAnalyze extensive datasets to identify trends and patterns and interpret themDesign tools for synthetic data generation and algorithm validationTest 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 trackingBuild the foundation for platform-based data collection and analyticsCollaborate with cross-functional teams to integrate data analytics and ML pipeline with the rest of the SW stack on the edgeMinimum RequirementsMScPhD in Data Science, Mathematics, Computer Science or a related field1+ years hands on experience in a similar position (Radar LiDAR Computer vision)Strong ML research background in conjunction with a strong coding experienceStartup mentality, solution driven, can do approachProficiency in Python and in standard ML tools - TensorFlow PyTorch Scikit-LearnExperienced in Algorithm design and optimizationHands on proficiency in CC++Obsessively passionate and inquisitive and seek to solve everyday problems in innovative waysExperience with lightweight edge ML technologies preferredGood understanding of signal and image processing preferredExperience with Generative Adversarial Neural Nets (GAN) preferredGood familiarity time series models preferredAbility to work in a hybrid mode with min. 60% in officeAddition: Stock Options401(k)Health insuranceDental insurancePaid time offVision insurance

Created: 2025-02-21