Senior Machine Learning Engineer (Health)
WHOOPBoston, MA
On-site Full-time
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Experience Level
Senior
Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Proven experience as a Machine Learning Engineer or similar role, with a strong portfolio of ML projects. Proficiency in programming languages such as Python, Java, or Scala. Experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch). Familiarity with cloud services (AWS, Azure, Google Cloud) and data engineering practices. Solid understanding of statistical analysis and algorithm design. Excellent problem-solving skills and ability to work collaboratively in a fast-paced environment.
WHOOP, a leading innovator in health and fitness wearables, is dedicated to enhancing human performance and extending healthspan. We empower our members by providing profound insights into their physical condition and daily habits. As part of our Health team, you will contribute to developing cutting-edge algorithms and features that enhance our health offerings. This role involves pioneering work in various domains including women’s health, medical-grade metrics, wellness monitoring, and longevity research, merging continuous physiological data with clinical research to create impactful health solutions. As a Senior Machine Learning Engineer, you will design, construct, and implement ML systems that deliver personalized health metrics to millions. Your expertise will bridge data science, backend engineering, and cloud infrastructure, focusing on robust, scalable ML solutions derived from physiological and behavioral data. Strong coding, system design skills, and the ability to produce production-ready ML services are essential for success in this position.
About WHOOP
WHOOP is at the forefront of health and fitness technology, dedicated to revolutionizing how individuals understand and enhance their performance and well-being. Our mission is to empower members with comprehensive insights into their health, enabling them to achieve their optimal potential. We are committed to innovation in health metrics and scientific research, providing our users with groundbreaking tools for wellness and longevity.
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