Especialista P&D - Aprendizado Auto-Supervisionado
Core
Research and development of Self-Supervised Learning (SSL) technologies for health and wellness applications on Samsung wearable devices.
Role type
Senior Research Scientist (Self-Supervised Learning)
Builds
Production-ready SSL frameworks and models for Samsung wearable ecosystem
Domain
Artificial Intelligence, Health & Wellness, Wearable Devices
Deliverable
production ML models
Required skills
Self-Supervised Learning, Contrastive Learning, Self-Distillation, Deep Learning model design, Python, PyTorch, Experimental design, Probability and Statistics
Preferred skills
Model optimization for resource-constrained devices, Big data environments, Distributed processing, Academic publications
Responsibilities
Develop and optimize SSL frameworks for unlabeled data (time series and tabular), Execute SSL experiments and evaluate performance metrics, Collaborate with multidisciplinary teams to integrate SSL solutions, Propose innovative projects for team strategy, Mentor peers on advanced SSL and ML techniques
Seniority
Senior, hands-on IC