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Design and implement algorithms to extract physiological signals from noisy biosensor data, optimize on-device computation and battery use, deploy and optimize ML models for real-time edge inference, collaborate with firmware, data science, and product teams, and validate production-ready code and clinical-study–driven analytics.
Senior Signal Processing Engineer
Boston, MA
Duties:
Whoop, Inc. seeks a Senior Signal Processing Engineer (Boston, MA) to design and implement
algorithms to extract physiological information from noisy biosensor data and optimize on-
device computation. Partner with Firmware and Data Science teams to deploy artificial
intelligence and machine learning models on edge devices. Optimize models for real-time
inference on edge devices, including analysis and improvement of battery consumption patterns.
Collaborate with the Signal Processing team to develop algorithms that personalize calculations
based on member data. Research and design innovative algorithms to improve performance
under edge-computation constraints. Contribute to software development, debugging, and
validation to ensure production-ready code and reliable results. Build, train, and test machine
learning models for large-scale data processing on edge devices. Collaborate with Product
Managers to translate member needs into machine learning–based solutions.
algorithms to extract physiological information from noisy biosensor data and optimize on-
device computation. Partner with Firmware and Data Science teams to deploy artificial
intelligence and machine learning models on edge devices. Optimize models for real-time
inference on edge devices, including analysis and improvement of battery consumption patterns.
Collaborate with the Signal Processing team to develop algorithms that personalize calculations
based on member data. Research and design innovative algorithms to improve performance
under edge-computation constraints. Contribute to software development, debugging, and
validation to ensure production-ready code and reliable results. Build, train, and test machine
learning models for large-scale data processing on edge devices. Collaborate with Product
Managers to translate member needs into machine learning–based solutions.
Requirements:
Master's degree in Computer Science, Applied Mathematics, Electrical Engineering, Biomedical
Engineering, or related field (or foreign degree equivalent) and at least 4 years of experience
with signal processing and/or machine learning. At least 4 years of experience developing and
implementing AI solutions for real-time processing on edge devices; At least 4 years of
experience collaborating with cross-functional teams to understand requirements and design
efficient edge computing solutions; At least 4 years of experience with biosensor systems and
analyzing biomedical data; At least 4 years of experience with signal and image processing
applications (C, C++, Python or MATLAB); At least 4 years of experience with ML libraries
such as scikit-learn, Tensorflow, PyTorch or Keras; At least 4 years of experience with statistical
method and design of clinical studies; At least 4 years of experience with code and battery
optimization on the edge; At least 4 years of experience adapting to changing requirements while
producing high quality reports under tight deadlines. Full-time position.
Engineering, or related field (or foreign degree equivalent) and at least 4 years of experience
with signal processing and/or machine learning. At least 4 years of experience developing and
implementing AI solutions for real-time processing on edge devices; At least 4 years of
experience collaborating with cross-functional teams to understand requirements and design
efficient edge computing solutions; At least 4 years of experience with biosensor systems and
analyzing biomedical data; At least 4 years of experience with signal and image processing
applications (C, C++, Python or MATLAB); At least 4 years of experience with ML libraries
such as scikit-learn, Tensorflow, PyTorch or Keras; At least 4 years of experience with statistical
method and design of clinical studies; At least 4 years of experience with code and battery
optimization on the edge; At least 4 years of experience adapting to changing requirements while
producing high quality reports under tight deadlines. Full-time position.
WHOOP Boston, Massachusetts, USA Office
1 Kenmore Sq, Boston, MA, United States, 02215
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