Defense, Security, Autonomy — Learn why Echodyne is a trusted leader, advancing radar tech that serves new applications. If ESA radar was the size of a paperback book, you would use it everywhere. Now you can. Ultra-low SWaP. Backed by NEA, Lux and Madrona.
About the role
In this role, you’ll develop machine learning capabilities for Echodyne radars and data systems. You’ll work with radar data to enhance our labeling process and improve how our systems detect, classify, and track targets in complex, changing environments. You’ll own work from data exploration and model prototyping through evaluation and production deployment. You’ll make practical tradeoffs among accuracy, latency, computation, and reliability. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Strong foundations in machine learning, probability, statistics, and experimental design
- Experience taking machine learning solutions from prototype through production deployment
- Experience with time-series classification
- Experience training and evaluating models on imbalanced datasets
- Experience designing or assessing data augmentation for real-world sensor data
- Experience evaluating model performance, investigating failure modes, and improving data or models based on findings
More about this role
Echodyne offers the world’s first compact solid-state true beam-steering radar for a wide range of industries and applications. Our high-performance radars work in all weather and are designed for autonomous vehicles, uncrewed aircraft & drones, and security of borders, critical infrastructure, and smart cities. The company combines the patented technology of metamaterials with powerful software to create a radar sensor with unprecedented performance at commercial price points. Echodyne offers its radars to companies working in Automotive, Transportation, Critical Infrastructure Protection, Border Security, Smart Cities, Uncrewed Aircraft Systems (UAS), and Airspace Management including Urban Air Mobility (UTM).
In this role, you’ll develop machine learning capabilities for Echodyne radars and data systems. You’ll work with radar data to enhance our labeling process and improve how our systems detect, classify, and track targets in complex, changing environments.
You’ll own work from data exploration and model prototyping through evaluation and production deployment. You’ll make practical tradeoffs among accuracy, latency, computation, and reliability.
Your work will have a direct...
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