Deep Learning Engineer

The company In the future, our health will be monitored continuously by ambient sensors in our homes, that will detect and monitor nearly invisible trends or changes in our habits and vital signs, and detect health medical problems such as infections, or deteriorations in chronic conditions, before the first perceptible symptom even occurs. Norbert Health has built the first AI health hub that makes this future a reality. Our device is a sleek, plug-and-play, consumer grade AI powered hub that performs (almost all) the work of a full time nurse, wherever patients are. It can: take vital signs without contact in 15 seconds - temperature, cardiac activity, breathing rate, and blood pressurerun mobility, cognitive, mental health assessments thanks to its onboard conversational and visual AIperform medication reminders, or answer questions about the health of a patientIncentivize people and patients to stick by their medical schedule and program, and keep healthy habits Norbert Health is the first true multimodal, ambient sensing platform to train a fully multimodal, behavioral and medical AI for day to day healthcare. Norbert will make your health as addictive as your instagram feed. For a better outcome! Today, we are focused on improving the lives of elders, in nursing homes and at home. Our devices are about to be widely deployed in the US and in other parts of the world. We are building software, hardware, AI that will revolutionize elder care in the short term, and healthcare in the long term. Our team is uniquely positioned to deliver - our co-founder Alex is a pioneer and repeat entrepreneur in computer vision and machine learning, and our CTO Jacques also. Our CCO Ahmad is a serial health care founder. Our tech team is made of medical experts, AI pioneers. This is a unique environment to thrive in. We are venture backed by top tier VCs, raised $15m so far, are headquartered in Brooklyn and in Paris, France The position We are looking for our lead deep learning engineer to spearhead the development of our groundbreaking sensing technology. What you will do: Develop deep & machine learning methods on complex high dimensional signalsSelect, design, train, adapt, refine and combine NLP and video analysis foundation modelsbuild validation data sets and protocols to optimize and validate our predictive abilitiesstay on top of academic research to identify methods we should integratebe a strong contributor to the code basedesign the architecture of this part of the code stackcontribute to building a strong tech culture What we look for: Master's or PhD degree in Machine learning / Computer vision3+ years experience building custom-made deep networks for specific applicationsStrong coding skills in Python / C++Bonus:Experience with sensor data fusion (RGB, IR, Radar)Experience with 4D+ signals (video, volumetric data etc.Experience with medical grade software or device development or QMS controlled environments What we offer: Strong independence and decision makingCutting edge, unique technology integrating and deploying AI for healthcare, hardware, AI, LLMsA talented, excellent, diverse and international teamA very ambitious and mission-driven visionStrong incentive in the company’s futureFriendly, fun, transparent and inclusive culture, that also fosters a constant yearning to improve, reach new limits, and learn more Come join us to build the future of ambient, predictive health, saving lives and making people live longer and happier, at home. #J-18808-Ljbffr