WHOOP

Senior Signal Processing Engineer

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

Qualifications

  • Master's degree in a related field (Computer Science, Applied Mathematics, etc.)
  • 4+ years of experience in signal processing and/or machine learning
  • 4+ years developing AI solutions for real-time edge processing
  • 4+ years collaborating with cross-functional teams
  • 4+ years analyzing biomedical data from biosensor systems
  • Proficient in programming languages (C, C++, Python, MATLAB)
  • Experienced with ML libraries (scikit-learn, TensorFlow, PyTorch, Keras)

Responsibilities

  • Design and implement algorithms for physiological data extraction
  • Optimize models for real-time inference on edge devices
  • Collaborate with teams to deploy AI and machine learning models
  • Research and innovate algorithms for edge-computation performance
  • Contribute to software development and validation for production-ready code
  • Build, train, and test machine learning models for large-scale processing
  • Work with Product Managers to create machine learning-based solutions

Benefits

  • Full-time position with potential for career growth
  • Collaborative work environment with cross-functional teams
  • Opportunity to innovate in biosensor and edge computing technology
  • Engagement in cutting-edge AI and machine learning projects
  • Impact on member health through personalized algorithm development
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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