Research Scientist / Research Engineer - Foundations, Search

Job summary

Responsibilities

We’re looking for a researcher focused on our search efforts. You’ll work with a a team of world-class research scientists and engineers developing foundational technology that enables models to retrieve and condition on the right information, at the right time.

• Tackle embedding models and retrieval systems optimized for grounding, relevance, and adaptive reasoning.
• Collaborate with a team of researchers and engineers building end-to-end infrastructure for training, evaluating, and integrating embeddings into frontier models.
• Drive innovation in dense, sparse, and hybrid representation techniques, metric learning, and learning-to-retrieve systems.
• Collaborate closely with Pretraining, Inference, and other Research teams to integrate retrieval throughout the model lifecycle
• Contribute to OpenAI’s long-term vision of AI systems with memory and knowledge access capabilities rooted in learned representations.

What they're looking for

• Proven experience leading high-performance teams of researchers or engineers in ML infrastructure or foundational research.
• 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.