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

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 product development with experience from software-on-edge design through product delivery to customers. If you are resourceful, have deep understanding in system architecture, edge-computing, embedded systems and ready to join a dynamic fast-growing start-up this unique opportunity is for you!

LOCATION

Hybrid/Campbell California US

EMPLOYMENT TYPE

Full Time

Responsibilities

Qualifications

  • Design and implement complex machine learning models and algorithms processing raw radar sensor data and other sensor data to address customer business needs

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  • 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

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  • Analyze extensive datasets to identify trends and patterns and interpret them

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  • Design tools for synthetic data generation and algorithm validation. Test and develop new techniques to provide critical insights and communicate them clearly with stakeholders

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  • Preprocess data for enhanced model accuracy and efficiency of people sensing and tracking

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  • Build the foundation for platform-based data collection and analytics

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  • Collaborate with cross-functional teams to integrate data analytics and ML pipeline with the rest of the SW stack on the edge

  • MSc/PhD in Data Science, Mathematics, Computer Science or a related field​

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  • 1+ years hands on experience in a similar position (Radar / LiDAR / Computer vision)​

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  • Strong ML research background in conjunction with a strong coding experience​

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  • Startup mentality, solution driven, can do approach​

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  • Hands on proficiency in Python and in standard ML tools – TensorFlow / PyTorch / Scikit-Learn /  C/C++​

 

  • Experienced in Algorithm design and optimization​​

 

  • 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

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