AI Researcher Multimodal Physiological Modeling

AI Researcher Multimodal Physiological ModelingLocation: San Francisco Bay Area Company: KOS AI Role Type: Full Time Start Date: January 2025About UsKOS AI is developing the next generation of non-invasive metabolic monitoring technology. Our platform combines multimodal sensing, physiological modeling, and advanced machine learning to estimate internal metabolic states continuously and in real time. The work sits at the intersection of biomedical signal processing, artificial intelligence, human physiology, and embedded inference.This role is ideal for a researcher who enjoys solving scientific problems that have no existing solutions and who is motivated by the opportunity to create entirely new algorithms that push the limits of what wearable technology can measure.Role OverviewWe are seeking an Artificial Intelligence Researcher with strong foundations in time-series modeling, signal processing, and learning from complex physiological data. You will help design algorithms that understand patterns in multi-channel biosignals, model dynamic biological processes, and translate raw sensor activity into meaningful insights.Your work will directly influence the core intelligence layer of our system and will involve research, experimentation, and the design of new approaches that combine domain knowledge with state-of-the-art machine learning.What You Will Work OnYour responsibilities will include a selection of the following focus areas, depending on your background:1. Multimodal Signal Processing and Feature DiscoveryDevelopment of new feature extraction methods for optical signals, motion signals, and physiological biomarkersDesign of noise-resilient, motion-resilient, and artifact-robust representationsExploration of frequency-based, time-domain, and hybrid feature spacesDiscovery of patterns that reflect underlying biological processes2. Machine Learning for Physiological SystemsResearch and implementation of models capable of learning from complex, noisy, and high-variability biological dataDevelopment of ensemble systems, temporal models, and context-aware learning frameworksDesign of robust inference pipelines capable of running efficiently on constrained environmentsIntegration of uncertainty, confidence scoring, and adaptive filtering3. Biological and Metabolic Dynamics ModelingModeling of dynamic processes related to human physiology, metabolism, and behavioral contextExploration of relationships between physiological signals, daily patterns, and state transitionsDevelopment of personalized data adaptation methods that learn individual physiological baselines and trends4. Pattern Recognition and Time-Series ForecastingResearch on forecasting trends and physiological trajectoriesIdentification of behavioral and biological events from multimodal dataDevelopment of systems that adapt to real-world, irregular, and incomplete signals5. Experimental Research and Dataset DevelopmentWorking with diverse datasets collected across multiple conditionsData cleaning, harmonization, and statistical evaluationDesigning experiments to validate new features, models, and interpretation techniquesWhat We Are Looking ForRequired QualificationsStrong foundations in machine learning, time-series modeling, or signal processingHigh proficiency in Python and modern deep learning frameworksExperience working with noisy, real-world, or multimodal dataAbility to explore scientific literature and convert insights into working algorithmsCuriosity, creativity, and a strong desire to work on difficult open-ended problemsPreferred QualificationsResearch experience with biomedical signals or physiological modelingBackground in optical sensing, human physiology, or biosignal analyticsExperience working with low-power or resource-constrained inference environmentsFamiliarity with probabilistic modeling, uncertainty quantification, or ensemble systemsDemonstrated ability to design and carry out empirical researchWhy This Role Is UniqueYou will develop algorithms for a real medical-grade system used by real people.You will work on scientific challenges that have no established roadmap and no existing answers.You will shape an entirely new category of sensing technology and long-term metabolic analytics.You will join a small, highly driven team where every line of research has direct product impact.Equal OpportunityKOS is committed to creating a diverse and inclusive workplace. We are an equal opportunity employer and welcome applications from all qualified candidates regardless of race, color, religion, sex, national origin, age, disability, or any other protected characteristic. recblid mg1xacj0t394zaslbrrl6i41qrmmq4