Whoop
Staff Applied Machine Learning Scientist
Boston, MA · Staff+
Sponsorship not specifiedDetected 15 days ago
PythonC++CAlgorithmsMachine LearningDeep LearningData AnalysisData ScienceA/B TestingElectrical EngineeringSignal ProcessingResearchProblem Solving
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odds of building a lasting career here
33Risky
Cap-exempt (no lottery)0
Sponsors this role66
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
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About the role
- Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep.
- You will work closely with a cross-functional team of scientists, engineers, physiologists, and hardware experts to solve challenging problems at the intersection of wearable sensing, physiological modeling, and applied AI.
- Your work will directly shape the future of WHOOP's sensing capabilities and our ability to provide members with accurate, personalized, and actionable insights into their health and performance.
Responsibilities
- Own the development and continuous improvement of production-ready edge algorithms that transform multimodal sensor data into accurate, reliable, and real-time physiological insights.
- Analyze large-scale wearable sensor datasets to identify performance gaps, characterize challenging conditions, and drive data-informed algorithm improvements.
- Optimize algorithms for embedded deployment, balancing accuracy with power, memory, latency, and compute constraints across current and future wearable platforms.
- Collaborate closely with Data Science, Firmware, Software, Hardware, Product, and domain experts to translate algorithmic innovations into production-ready capabilities and member-facing features.
Requirements
- Strong proficiency in Python for algorithm development, experimentation, and large-scale data analysis
- experience with C/C++ and embedded algorithm development is highly desirable.
- Experience designing rigorous experiments, defining performance metrics, performing error analysis, and translating findings into algorithm improvements.
- Experience taking algorithms through the full development lifecycle, from research and prototyping through validation, deployment, monitoring, and continuous improvement.
- Strong analytical and problem-solving skills, with the ability to navigate ambiguity and make sound technical decisions.
- Experience with physiological signals, wearable sensors, or biomedical sensing is highly desirable.
- MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, Machine Learning, Applied Mathematics, or a related quantitative field.
- 7+ years of experience developing and deploying machine learning, deep learning, and/or signal processing algorithms for complex real-world applications.
- Deep technical expertise in modern machine learning and deep learning methods, particularly for time-series and multimodal sensor data.
- Strong foundation in digital and statistical signal processing, with the ability to combine classical signal processing techniques with modern learning-based approaches.
- Demonstrated ability to develop robust models using large, noisy, real-world datasets and achieve strong generalization across diverse conditions.
- Strong commitment to embracing and leveraging AI tools in day-to-day work while maintaining high standards for quality and rigor.
- Join us in pushing the boundaries of wearable sensing, applied AI, and physiological intelligence and positively impacting people's lives!
Nice to have
- Experience optimizing algorithms for resource-constrained embedded or edge environments, including tradeoffs across accuracy, power, memory, compute, and latency, is a plus.
Benefits
- Stay at the forefront of advances in deep learning, machine learning, signal processing, edge AI, and physiological sensing, and translate relevant innovations into differentiated WHOOP capabilities.
Company info
- At WHOOP, we're on a mission to unlock and inspire performance for life.
- At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience.
This listing is sourced directly from Whoop's careers page and normalized into a canonical job model.