Lead Engineer in Machine Learning

About Norbert Health care urgently needs automation. By 2025, there will be 13 million vacant nursing jobs, and it's urgent to lighten the workload of the exhausted nursing and medical staff. Healthcare also needs to expand into homes - by 2028, Medicare costs worth 265 billion dollars will be transferred from hospitals to home-based care. At Norbert, we've created the device and technology that will make this transformation possible. We're creating the world's first medical grade, non-contact, fully automated vital signs scanner that can measure heart rate, SpO2, blood pressure, respiratory rate, and temperature in 20 seconds without any contact. Each patient only needs to sit or stand within 3 feet of the device. We utilize wireless, infrared, and visible light sensing to not only detect, but also predict health issues before they occur. We are currently conducting pilot implementations in hospitals worldwide and are finalizing our bench tests before beginning clinical trials in October. Our first certified devices are slated to ship in the first quarter of 2024. Our founder, Alex Winter, is a seasoned entrepreneur and pioneer in computer vision and machine learning, with several successful ventures in the field to his name. We are a venture-backed company with headquarters in Brooklyn and offices in Paris, France. Join us in building the future of ambient, predictive health, saving lives, and enhancing people's longevity and happiness at home. The Position We are currently expanding the heart of our tech team and are seeking a lead machine learning engineer to spearhead the development of our revolutionary sensing technology. You will work alongside a group of highly skilled senior and junior machine learning, signal processing, and computer vision engineers. Your responsibilities will include: - Developing machine learning methods for complex, high-dimensional signals. - Building validation data sets and protocols to optimize and validate our predictive capabilities. - Implementing and deploying training infrastructure. - Deploying and optimizing models on our embedded systems. - Staying up to date with academic research to identify methods we should incorporate. - Making significant contributions to the code base. - Designing the architecture for this section of the code stack. - Helping to cultivate a robust tech culture. What we're looking for includes: - A Master's or PhD degree in Machine Learning/Computer Vision. - 3+ years of experience in building machine learning solutions for specific applications. - Excellent knowledge of common machine learning platforms and tools such as Triton, TensorFlow, PyTorch, and Vertex. - Strong coding skills in Python/C++. - Bonus points for experience with sensor data fusion (RGB, IR, Radar), and with handling 4D+ signals (video, volumetric data etc). We offer: - High autonomy and decision-making. - Cutting-edge technology. - Links with the academic community and conferences. - A talented, diverse, and international team. - A highly ambitious and mission-driven vision. - A friendly, fun, and transparent culture. - Significant stake in the company's future. - Attractive equity package. - Trips to our New York City office. - Possible visa sponsorship after one year.