Whoop
Senior Applied ML Algorithm Engineer
$150K–$215K
Boston, MA · On-site · Senior · Full-time · Posted Oct 9, 2026
- Experience
- 5+ years.
- Education
- MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, or a related quantitative field, or equivalent practical experience.
About the job
Develops and deploys signal-processing algorithms and machine-learning models that turn wearable sensor data into real-time physiological insights on WHOOP devices.
What you'll do
- Develop and evaluate algorithms and models using noisy wearable sensor data.
- Implement and optimize production C/C++ algorithms for embedded firmware and validate them on target hardware.
- Define validation plans and collaborate across teams to improve algorithm performance after deployment.
What they ask for
- 5+ years developing signal-processing and machine-learning algorithms for time-series or sensor data in real-world applications.
- MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, or a related quantitative field, or equivalent practical experience.
- Proficiency in Python and C/C++ for data analysis, model development, and embedded implementation.
- Experience training and evaluating machine-learning models and deploying them to resource-constrained embedded systems.
Nice to have
- Experience with physiological signals or wearable sensors.
Pay
$150K – $215K USD base salary
Tools
Python, C/C++, TensorFlow, PyTorch, scikit-learn
AI focus
Develops machine-learning models for wearable sensor data and embedded inference; the posting also asks the candidate to use AI tools in day-to-day work.
Model-written summary · the original posting is authoritative