WHOOP

Senior Signal Processing Engineer

WHOOP$150K — $215K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in relevant field (Computer Science, Applied Mathematics, etc.) or equivalent foreign degree.
  • 4+ years of experience in signal processing and/or machine learning.
  • 4+ years of developing AI solutions for real-time processing on edge devices.
  • 4+ years of experience with biosensor systems and biomedical data analysis.
  • 4+ years of programming experience in C, C++, Python, or MATLAB.
  • 4+ years of experience with ML libraries such as Tensorflow or PyTorch.
  • 4+ years of experience in statistical methods and clinical study design.

Responsibilities

  • Design algorithms to extract physiological data from biosensor inputs.
  • Optimize algorithms for device computation and battery usage.
  • Collaborate with Firmware and Data Science teams for AI model deployment.
  • Improve real-time inference models for edge devices.
  • Develop personalized algorithm calculations using member data.
  • Contribute to software development and validation for production-ready code.
  • Translate member needs into effective machine learning solutions.

Benefits

  • Collaborative work environment with cross-functional teams.
  • Opportunity to research and innovate in edge-computation algorithms.
  • Involvement in the development of ground-breaking biosensor technology.
  • Hands-on experience with machine learning and AI implementation.
  • Potential for professional growth in a rapidly evolving field.
Full Job Description
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.

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.

Salary: $150,000 - $215,000/year

About WHOOP

WHOOP is a wearable technology company that specializes in fitness tracking. The company was founded in 2012 and is based in Boston, Massachusetts. WHOOP's flagship product is a wristband that tracks various metrics related to fitness and health, such as heart rate variability, sleep quality, and recovery time. The company also offers a subscription service that provides personalized insights and recommendations based on the data collected by the wristband. WHOOP has raised over $200 million in funding and has partnerships with several professional sports leagues and teams.
Learn more about WHOOP
Size
500 employees
Industry
Founded
2011

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