Backed by SoftBank VF and IVP.
About the role
Develop end-to-end verification and validation methodologies for sensor algorithms and biosensor systems, including test design, reference-data comparison, performance metrics, acceptance criteria, and readiness assessment across large-scale datasets Partner with Data Science, WHOOP Labs, Research, Firmware, and other engineering teams to design representative data collections, evaluate algorithm performance against reference measurements, characterize failure modes, and determine readiness for real-world... Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor’s or Master’s degree in electrical engineering, biomedical engineering, applied mathematics, statistics, computer science, or a related quantitative field, or equivalent practical experience
- 5+ years of industry or research experience working with signal processing, machine learning, statistical analysis, algorithm validation, or related quantitative methods
- Experience analyzing time-series data and applying core signal processing techniques such as filtering, spectral analysis, peak detection, and windowing
- Demonstrated experience independently designing and driving validations studies, including one or more of test methodology development, reference-data comparison, performance evaluation, acceptance-criteria definition, or failure-mode investigation
- Proven track record of investigating intricate or ill-defined technical challenges, pinpointing root causes, and delivering solutions across algorithm, sensor, data, and system domains
- Proficiency in Python and/or C, with experience developing reliable tools or software for data processing, analysis, or algorithm validation
More about this role
At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
WHOOP is seeking a Senior Sensor Intelligence Engineer to help develop, validate, and scale the sensor algorithms and tools that transform noisy physiological signals into meaningful member insights. As part of a cross-functional team spanning Sensor Intelligence, Hardware, ML Research, WHOOP Labs, Firmware, Apparel & Accessories, and other engineering disciplines, you will develop robust algorithm verification and validation methodologies, evaluate sensor and algorithm performance against appropriate reference data, build diagnostic and analysis tools, characterize failure modes, and help determine algorithm readiness for real-world deployment across our diverse member population.
Develop end-to-end verification and validation methodologies for sensor algorithms and biosensor systems, including test design, reference-data comparison, performance metrics, acceptance criteria, and readiness assessment across large-scale datasets
Partner with Data Science, WHOOP Labs, Research, Firmware, and other...
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