Senior Sensor Algorithm Engineer

WHOOP develops wearable technology that collects physiological data to help members optimize their performance, recovery, and sleep.
Data
Senior Software Engineer
In-Person
5+ years of experience
Healthcare

Description For Senior Sensor Algorithm Engineer

WHOOP is revolutionizing human performance through their advanced wearable technology platform that collects rich physiological data to provide actionable insights into recovery, training, and sleep. As a Senior Sensor Algorithms Engineer, you'll be at the forefront of developing cutting-edge algorithms that transform raw sensor data into meaningful physiological insights. Working with a cross-functional team of data scientists, engineers, and physiologists, you'll design and implement innovative signal processing and machine learning solutions.

The role combines expertise in signal processing, machine learning, and physiological modeling to enhance WHOOP's analytics capabilities. You'll be responsible for developing and optimizing algorithms, analyzing large-scale wearable sensor datasets, and implementing scalable solutions for both real-time and offline processing. The position requires strong technical skills in Python and C/C++, experience with machine learning frameworks, and a deep understanding of physiological signal processing.

This is an opportunity to directly impact people's lives by advancing wearable technology capabilities. The role is based in Boston, MA, and offers the chance to work with state-of-the-art technology in a collaborative environment. WHOOP values diversity and encourages applications from candidates who might not meet every qualification but demonstrate strong potential and character.

The ideal candidate will have 5+ years of experience in algorithm development, an advanced degree in a relevant field, and a passion for pushing the boundaries of what's possible in wearable technology. You'll be joining a mission-driven company that's committed to unlocking human performance through innovative technology and data-driven insights.

Last updated 2 months ago

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 existing and new 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

Python
  • 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 with the ability to work on complex, ambiguous problems
  • Experience deploying algorithms in production environments, including embedded systems or cloud-based solutions, is a plus
  • Strong commitment to embracing and leveraging AI tools in day-to-day tasks

Benefits For Senior Sensor Algorithm Engineer

Relocation Benefits
  • Relocation Benefits

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