The opportunity
About the Team The Foundations Research team works on high-risk, high-reward ideas that could shape the next decade of AI. Our goal is to advance the science and data that enable our training and scaling efforts, with a particular focus on future frontier models.
What they're looking for
- Deep technical expertise in representation learning, embedding models, or vector retrieval systems.
- Familiarity with transformer-based LLMs and how embedding spaces can interact with language model objectives.
- Research experience in areas such as contrastive learning, supervised or: unsupervised embedding learning, or metric learning.
- A track record of building or scaling large machine learning systems,: particularly embedding pipelines in production or research contexts.
