RE / RS - Foundations, Search

OpenAI
San Francisco
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Leadership","Collaboration","Communication","Teamwork","Problem-solving"]

Technical research lead within OpenAI Foundations, overseeing embeddings-focused retrieval work. You’ll manage a team of researchers and engineers, design embedding training objectives, scalable vector store architectures, and dynamic indexing methods to enable retrieval and grounding across OpenAI models and products.

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FursaFursa
OpenAI
OpenAI
1 year ago

RE / RS - Foundations, Search

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 minutes agoStatus: Live

Job Summary

Technical research lead within OpenAI Foundations, overseeing embeddings-focused retrieval work. You’ll manage a team of researchers and engineers, design embedding training objectives, scalable vector store architectures, and dynamic indexing methods to enable retrieval and grounding across OpenAI models and products.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Lead research into embedding models and retrieval systems optimized for grounding, relevance, and adaptive reasoning.
  • •Manage 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.

Pay and Benefits

Perks:Relocation

Key Requirements

  • •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
Experience:AIMachine learningResearch
Skills:LeadershipCollaborationCommunicationTeamworkProblem-solving
Tech Stack:EmbeddingsVector retrievalTransformersLLMsMetric learningDeep learningNeural networks

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
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