Senior Sensor Algorithm Engineer
Description For Senior Sensor Algorithm Engineer
WHOOP is revolutionizing human performance through their advanced wearable technology platform that collects vital physiological data to provide actionable insights into recovery, training, and sleep. They are currently seeking a Senior Sensor Algorithms Engineer to join their innovative team in Boston.
This role sits at the intersection of signal processing, machine learning, and physiological monitoring, where you'll be responsible for developing sophisticated algorithms that transform raw sensor data into meaningful insights. Working with a cross-functional team of data scientists, engineers, and physiologists, you'll be at the forefront of creating innovative solutions that directly impact users' ability to optimize their performance and well-being.
The position requires a strong technical background with at least 5 years of experience in signal processing and machine learning algorithms for time-series data. You'll need expertise in Python and C/C++, along with experience in modern machine learning frameworks. The ideal candidate will have an advanced degree (MS or PhD) in a relevant field and a deep understanding of physiological signal processing.
What makes this role particularly exciting is the direct impact you'll have on WHOOP's core technology. Your work will be crucial in advancing the company's ability to provide accurate, reliable, and actionable insights to members. The role offers the opportunity to work with cutting-edge technology while solving complex challenges in human performance monitoring.
WHOOP offers a collaborative environment where innovation is encouraged, and you'll have the chance to work with state-of-the-art technology while contributing to a product that genuinely helps people improve their lives. The company values diversity and encourages applications from candidates who might not meet every qualification but bring unique perspectives and experiences.
Responsibilities For Senior Sensor Algorithm Engineer
- Develop and optimize signal processing and machine learning algorithms to extract physiological metrics from raw sensor data
- Analyze large-scale wearable sensor datasets to improve accuracy, robustness, and efficiency of algorithms
- Collaborate with data scientists, engineers, and domain experts to translate research findings into production-ready features
- Implement scalable and efficient algorithms for real-time and offline processing of physiological signals
- Work closely with firmware and hardware teams to ensure seamless integration of algorithms on WHOOP devices
- Stay up to date with advancements in machine learning, signal processing, and physiological modeling
- Validate algorithms through rigorous testing, including lab-based experiments and real-world data analysis
Requirements For Senior Sensor Algorithm Engineer
- MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, or a related field
- 5+ years of experience developing signal processing and machine learning algorithms for time-series data
- Proficiency in Python and C/C++ for algorithm development and data analysis
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and signal processing techniques
- Deep understanding of physiological signal processing and time-series modeling
- Strong analytical and problem-solving skills
- Experience deploying algorithms in production environments
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks
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