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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

INDUSTRY

Our Strategic
Partnerships

Committed to each other's success, partnership is at the core of our business model. Together we are capable of tackling the most complex challenges of our society.

algorized_orange_logo.png

Route Suisse 8A

1163 Etoy

Switzerland

1901 S. Bascom Avenue #1180

Campbell, CA 95008

USA​

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