Senior Applied Scientist, ML DSP
Company: Gridware
Location: San Francisco
Posted on: November 11, 2024
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Job Description:
Gridware exists to enhance and protect the mother of all
networks: the electrical grid. The grid touches everything, and
when it grinds to a halt, the consequences can be dire: wildfires
burn, land is destroyed, property is damaged, progress stops, and
lives are lost.Our team engineers an advanced sensing system to
continuously analyze both the electrical and mechanical behavior of
grid assets. Utilizing high-precision sensor arrays, the system
identifies and allows preemptive mitigation of faults. The
technology has been proven with utilities to bolster safety,
reliability, and reduce customer outage durations. The demand for
power will only increase. We protect the grid of today while we
build the grid of tomorrow.Gridware is privately held and backed by
the best climate-tech and Silicon Valley investors. We are
headquartered in the Bay Area in northern California.Role
Description:The Senior Applied Scientist specializing in ML DSP
(Machine Learning with Digital Signal Processing) is responsible
for evaluating and developing models for multimodal time series
sensor data on heavily resource-constrained computation systems.
The ideal candidate will possess deep knowledge of machine learning
architectures, digital signal processing techniques, and algorithm
design.Responsibilities:The Senior Applied Scientist will, as a
starting point, be responsible for the following:
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Keywords: Gridware, Tracy , Senior Applied Scientist, ML DSP, Other , San Francisco, California
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