Senior Edge AI Scientist — Wearables & Real-Time Insights

WHOOP; Boston (MA); On-site; USD 180,000 - 240,000; Full time

Job summary

WHOOP is seeking a Staff Applied Machine Learning Scientist to develop edge algorithms that convert sensor data into real-time physiological insights for wearable platforms. You will advance deep learning, signal processing, and multimodal data processing to maximize accuracy, latency, and power efficiency.

Based in Boston, MA, this role collaborates with cross-functional teams and guides algorithm development from research to production, with relocation if needed.

Qualifications

• MS/PhD in a quantitative field with 7+ years of ML experience.
• Strong background in time-series and multimodal sensor data.
• Proficient in Python; C/C++ and embedded work desirable.
• Experience deploying ML in production with edge constraints.

Responsibilities

• Design advanced algorithms for time-series and multimodal data with focus on accuracy, robustness, and generalization.
• Own production-ready edge algorithms transforming multimodal sensor data into real-time insights.
• Analyze large-scale wearable sensor datasets to identify performance gaps and drive improvements.
• Define evaluation methodologies, validation frameworks, and performance metrics.
• Optimize algorithms for embedded deployment considering power, memory, latency, and compute constraints.
• Set technical direction and best practices for modeling and algorithm development.
• Pursue ambitious technical initiatives from research to production deployment and monitoring.
• Collaborate with Data Science, Firmware, Software, Hardware, and Product teams.

Skills

Python

C/C++

Deep learning

Signal processing

Time-series

Edge AI

Multimodal data

Education

MS or PhD in a quantitative field

Tools

Embedded development

Data analysis tools

Job description

WHOOP is seeking a Staff Applied Machine Learning Scientist to develop edge algorithms that convert sensor data into real-time physiological insights for wearable platforms. You will advance deep learning, signal processing, and multimodal data processing to maximize accuracy, latency, and power efficiency.

Based in Boston, MA, this role collaborates with cross-functional teams and guides algorithm development from research to production, with relocation if needed.