Job Summary

• Explore the potential of foundation models for time series forecasting, similar to the success of large language models.
• Assess the current state-of-the-art in pre-trained time-series foundation models and benchmark their performance on relevant prediction problems.
• Investigate parsimonious architectures for in-house model training, distillation, and fine-tuning to guide future operationalization within CFM.

Matching Summary

Skills & Requirements

Key Requirements

• Pursuing graduate degree (Masters or PhD)
• Proficient in Python

Work Rights