AI Research Intern – Time Series Foundation Models
Core
Researching foundation models for multimodal and sensor-rich environments, focusing on time series, audio, vision, and physical sensor signals to learn generalizable representations.
Role type
Research intern (Ph.D. level)
Builds
Experimental prototypes and research ideas
Domain
Artificial Intelligence, Machine Learning, Signal Processing, Robotics, Manufacturing
Deliverable
research
Required skills
Time-series foundation models, Multimodal models, Self-supervised learning, PyTorch, Python programming, Experimental design, Representation learning
Preferred skills
Real-world sensor/telemetry signals (radar, LiDAR, IMU), Transformers, Generative models, Contrastive learning, Transfer learning, Robustness, Domain adaptation, Uncertainty estimation, Publications at top ML venues
Technologies
PyTorch, Transformers, Generative models
Responsibilities
Formulate research questions, develop and evaluate new methods, build experimental prototypes, work with researchers and domain experts
Seniority
Intern, Ph.D. candidate
