RE / RS - Foundations, Search

at OpenAI
USD 445,000-555,000 per year
MIDDLE
✅ Hybrid
✅ Relocation

Tech Stack

AI @ 3 LLM Machine Learning @ 3

Details

The Foundations Research team works on high-risk, high-reward ideas that could shape the next decade of AI, advancing the science and data behind training and scaling future frontier models. The Search team builds agentic search by co-designing model-system interfaces with serving, indexing, and retrieval systems to translate model intent into reliable real-world actions.

Responsibilities

  • Develop embedding models and retrieval systems optimized for grounding, relevance, and adaptive reasoning.
  • Collaborate with researchers and engineers to build 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.
  • Work closely with Pretraining, Inference, and other Research teams to integrate retrieval throughout the model lifecycle.
  • Contribute to AI systems with memory and knowledge-access capabilities based on learned representations.
  • Design new embedding training objectives, scalable vector store architectures, and dynamic indexing methods.

Requirements

  • Proven experience leading high-performance teams of researchers or engineers in machine learning infrastructure or foundational research.
  • Deep technical expertise in representation learning, embedding models, or vector retrieval systems.
  • Familiarity with transformer-based large language models and how embedding spaces interact with language model objectives.
  • Research experience in 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.
  • A first-principles mindset for challenging assumptions about retrieval and memory for large models.

Work Model

This role is based in San Francisco, California. The team uses a hybrid work model requiring three days in the office per week.

Benefits

  • Equity, performance-related bonuses for eligible employees, and a salary range of $445,000–$555,000 per year.
  • Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
  • Pre-tax accounts for health, dependent care, and commuter expenses.
  • 401(k) retirement plan with employer match.
  • Paid parental, medical, caregiver, and sick or safe leave.
  • Flexible paid time off for exempt employees and up to 15 paid days annually for non-exempt employees.
  • Paid company holidays and coordinated office closures.
  • Mental health and wellness support.
  • Employer-paid basic life and disability coverage.
  • Annual learning and development stipend.
  • Daily office meals and eligible meal delivery credits.
  • Relocation support for eligible employees.
  • Additional benefits may include charitable donation matching and wellness stipends.

More jobs at OpenAI

Similar jobs