KOS AI · 2 months ago
AI Researcher – Multimodal Physiological Modeling
Palo Alto, CA
Full-time
Onsite
Mid, Senior Level
$150K/yr - $500K/yrKOS AI is developing the next generation of non-invasive metabolic monitoring technology. The AI Researcher will focus on creating advanced algorithms for interpreting multimodal physiological signals and modeling dynamic biological processes, contributing to the core intelligence of the product.
Biotechnology
Responsibilities
Development of new feature extraction methods for optical signals, motion signals, and physiological biomarkers
Design of noise-resilient, motion-resilient, and artifact-robust representations
Exploration of frequency-based, time-domain, and hybrid feature spaces
Discovery of patterns that reflect underlying biological processes
Research and implementation of models capable of learning from complex, noisy, and high-variability biological data
Development of ensemble systems, temporal models, and context-aware learning frameworks
Design of robust inference pipelines capable of running efficiently on constrained environments
Integration of uncertainty, confidence scoring, and adaptive filtering
Modeling of dynamic processes related to human physiology, metabolism, and behavioral context
Exploration of relationships between physiological signals, daily patterns, and state transitions
Development of personalized data adaptation methods that learn individual physiological baselines and trends
Research on forecasting trends and physiological trajectories
Identification of behavioral and biological events from multimodal data
Development of systems that adapt to real-world, irregular, and incomplete signals
Working with diverse datasets collected across multiple conditions
Data cleaning, harmonization, and statistical evaluation
Designing experiments to validate new features, models, and interpretation techniques
Qualification
Required
Strong foundations in machine learning, time-series modeling, or signal processing
High proficiency in Python and modern deep learning frameworks
Experience working with noisy, real-world, or multimodal data
Ability to explore scientific literature and convert insights into working algorithms
Curiosity, creativity, and a strong desire to work on difficult open-ended problems
Preferred
Research experience with biomedical signals or physiological modeling
Background in optical sensing, human physiology, or biosignal analytics
Experience working with low-power or resource-constrained inference environments
Familiarity with probabilistic modeling, uncertainty quantification, or ensemble systems
Demonstrated ability to design and carry out empirical research
Company
KOS AI
Kos provides real-time, interactive and cost-effective healthcare using a wearable technology and AI/ML proprietary system.
Founded in 2020
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase