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Research Engineer, Retrieval & Search, Applied Engineering Careers at OpenAI - San Francisco, California | Apply Now!

OpenAI

Research Engineer, Retrieval & Search, Applied Engineering Careers at OpenAI - San Francisco, California | Apply Now!

full-timePosted: Feb 10, 2026

Job Description

Research Engineer, Retrieval & Search Careers at OpenAI - San Francisco

Join OpenAI's Applied Engineering team as a Research Engineer specializing in Retrieval & Search. This senior-level role offers the chance to build production search systems powering ChatGPT and the OpenAI API, reaching millions of users worldwide.

Role Overview

OpenAI seeks an experienced Research Engineer to lead retrieval and search initiatives across our core products. As AI adoption accelerates, robust search capabilities have become mission-critical for delivering exceptional user experiences. You'll work at the intersection of research and engineering, developing algorithms that power document search, enterprise search, knowledge retrieval, and web-scale search applications.

This role sits at the center of OpenAI's retrieval efforts, directly impacting products used by millions. You'll collaborate with world-class researchers, deploy production systems at massive scale, and explore novel research directions shaping our future product strategy. Safety remains paramount—your work will balance innovation with responsible AI deployment.

Based in San Francisco, this position offers exposure to cutting-edge AI challenges while contributing to OpenAI's mission of ensuring artificial general intelligence benefits all humanity.

Key Responsibilities

Your day-to-day will span the full stack of retrieval engineering:

  • Design and implement advanced retrieval algorithms for diverse domains including document search and enterprise knowledge bases
  • Build scalable vector search infrastructure using state-of-the-art databases and indices
  • Deploy production search systems integrated with ChatGPT and OpenAI API serving millions daily
  • Collaborate closely with research scientists on novel retrieval methodologies and RAG architectures
  • Optimize search performance for sub-second latency at internet scale
  • Partner with product managers to translate user needs into technical requirements
  • Work with designers creating intuitive search interfaces powered by AI
  • Conduct experiments evaluating retrieval effectiveness across benchmarks
  • Maintain production ML systems with 99.99%+ uptime requirements
  • Explore long-term research directions informing OpenAI's product roadmap
  • Scale search infrastructure to handle exponential query growth
  • Integrate retrieval systems with frontier large language models
  • Monitor and iterate on live production metrics driving continuous improvement

Expect to own projects end-to-end, from initial research through production deployment and ongoing optimization.

Qualifications

We're looking for engineers who thrive in ambiguous, high-impact environments:

  • 5+ years building production ML systems, preferably search/retrieval focused
  • Deep experience with vector databases (Pinecone, Weaviate, FAISS, etc.)
  • Proven success scaling search systems to internet-scale traffic
  • Strong Python skills and ML framework proficiency (PyTorch/TensorFlow)
  • Experience owning complex technical projects from research to production
  • Comfort navigating competing priorities and tight deadlines
  • Demonstrated ability to learn new domains rapidly
  • Excellent cross-functional collaboration skills
  • Passion for responsible AI development and deployment
  • San Francisco Bay Area location preferred

Salary & Benefits

Competitive Compensation: Total compensation for this senior Research Engineer role typically ranges from $285,000 - $425,000 annually, including base salary, equity, and bonus potential. Exact figures depend on experience and qualifications.

Comprehensive Benefits Package:

  • Premium medical, dental, vision coverage
  • 401(k) with generous matching
  • Unlimited PTO policy
  • Parental leave and family benefits
  • Professional growth stipend
  • Equity in a high-growth AI leader
  • Catered meals and team events
  • State-of-the-art San Francisco office
  • Relocation support available

OpenAI offers compensation competitive with top tech companies while prioritizing mission impact over traditional perks.

Why Join OpenAI?

OpenAI represents humanity's best hope for safe AGI development. Your work here directly shapes how billions interact with AI:

  • Mission-Driven Impact: Build technology benefiting all humanity, with safety as the north star
  • Technical Excellence: Work with the world's top AI researchers and engineers
  • Product Reach: Ship features used by millions through ChatGPT and API
  • Research Freedom: Explore novel ideas influencing our long-term roadmap
  • Career Growth: Rapid learning environment with unparalleled challenges

Unlike traditional tech companies, OpenAI prioritizes responsible development over unchecked growth. You'll join a values-driven team committed to safe AI deployment.

How to Apply

Ready to shape the future of AI search? Submit your application including:

  • Resume/CV highlighting relevant experience
  • GitHub/portfolio with production ML projects
  • Brief cover letter explaining your interest in retrieval/search at OpenAI

Our interview process includes technical screens, system design, research discussions, and team fit interviews. We evaluate holistically, valuing diverse experiences and perspectives.

OpenAI is an equal opportunity employer committed to diversity. We encourage applications from underrepresented backgrounds.

Keywords: OpenAI Research Engineer, Retrieval Engineer, Search Engineer, RAG Engineer, Vector Search, Production ML, AI Search Systems, ChatGPT Engineering, San Francisco AI Jobs

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangehigh confidence

299,250 - 467,500 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Retrieval Augmented Generation (RAG)intermediate
  • Vector Databasesintermediate
  • Search Algorithmsintermediate
  • Machine Learning Systemsintermediate
  • Production ML Deploymentintermediate
  • Internet-Scale Searchintermediate
  • Document Searchintermediate
  • Enterprise Searchintermediate
  • Knowledge Retrievalintermediate
  • Web-Scale Searchintermediate
  • Vector Embeddingsintermediate
  • Search Indicesintermediate
  • LLM Integrationintermediate
  • AI Product Developmentintermediate
  • Algorithm Optimizationintermediate
  • Data Retrieval Systemsintermediate
  • Scalable ML Pipelinesintermediate
  • Cross-Functional Collaborationintermediate
  • Research Engineeringintermediate
  • Production Systems Engineeringintermediate

Required Qualifications

  • Extensive experience building and maintaining production machine learning systems at scale (experience)
  • Hands-on experience with vector databases like Pinecone, Weaviate, or FAISS (experience)
  • Proven track record working with search indices and retrieval systems (experience)
  • Experience developing and iterating on internet-scale search infrastructure (experience)
  • Strong background in retrieval algorithms and semantic search methodologies (experience)
  • Ability to own complex problems end-to-end from research to production (experience)
  • Comfortable working in fast-paced environments with ambiguous requirements (experience)
  • Experience collaborating with research, engineering, product, and design teams (experience)
  • Deep understanding of document search, enterprise search, and knowledge retrieval (experience)
  • Proficiency in Python, ML frameworks (PyTorch/TensorFlow), and cloud infrastructure (experience)
  • Demonstrated ability to deploy ML models serving millions of users (experience)
  • Experience exploring novel research topics in retrieval and search domains (experience)

Responsibilities

  • Develop and optimize retrieval algorithms for document search applications
  • Build enterprise search systems integrated with OpenAI's API and ChatGPT
  • Design and implement knowledge retrieval pipelines for AI products
  • Create web-scale search infrastructure handling millions of queries daily
  • Collaborate with research team on cutting-edge retrieval methodologies
  • Deploy search systems into production environments serving global users
  • Explore novel research topics influencing medium and long-term product strategy
  • Partner with product managers to define search feature roadmaps
  • Work with designers to create intuitive search user experiences
  • Maintain and scale vector databases and search indices
  • Optimize retrieval performance for latency-sensitive applications
  • Conduct experiments evaluating retrieval system effectiveness
  • Integrate retrieval systems with large language models (LLMs)
  • Monitor and improve production search system reliability

Benefits

  • general: Comprehensive medical, dental, and vision insurance plans
  • general: 401(k) retirement plan with generous company matching
  • general: Unlimited PTO with encouraged time away
  • general: Mental health support through dedicated programs
  • general: Parental leave policies supporting work-life balance
  • general: Professional development stipend for conferences and courses
  • general: Equity compensation with significant growth potential
  • general: Weekly team lunches and catered meals
  • general: State-of-the-art office in San Francisco
  • general: Relocation assistance for new hires
  • general: Fitness reimbursement and wellness programs
  • general: Generous learning and development budget
  • general: Volunteer time off for community service
  • general: Cutting-edge AI research opportunities

Target Your Resume for "Research Engineer, Retrieval & Search, Applied Engineering Careers at OpenAI - San Francisco, California | Apply Now!" , OpenAI

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OpenAI research engineer jobsretrieval engineer OpenAIsearch engineer San FranciscoRAG engineer careersvector database engineerproduction ML engineer OpenAIChatGPT search engineeringAI retrieval systems jobsinternet scale search engineerenterprise search engineerknowledge retrieval OpenAIweb scale search careersSan Francisco AI engineering jobsOpenAI applied engineeringmachine learning research engineervector search OpenAIsemantic search engineerLLM retrieval augmentationAI product engineering OpenAIproduction search systemsOpenAI retrieval careersSF machine learning jobsApplied AI

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OpenAI logo

Research Engineer, Retrieval & Search, Applied Engineering Careers at OpenAI - San Francisco, California | Apply Now!

OpenAI

Research Engineer, Retrieval & Search, Applied Engineering Careers at OpenAI - San Francisco, California | Apply Now!

full-timePosted: Feb 10, 2026

Job Description

Research Engineer, Retrieval & Search Careers at OpenAI - San Francisco

Join OpenAI's Applied Engineering team as a Research Engineer specializing in Retrieval & Search. This senior-level role offers the chance to build production search systems powering ChatGPT and the OpenAI API, reaching millions of users worldwide.

Role Overview

OpenAI seeks an experienced Research Engineer to lead retrieval and search initiatives across our core products. As AI adoption accelerates, robust search capabilities have become mission-critical for delivering exceptional user experiences. You'll work at the intersection of research and engineering, developing algorithms that power document search, enterprise search, knowledge retrieval, and web-scale search applications.

This role sits at the center of OpenAI's retrieval efforts, directly impacting products used by millions. You'll collaborate with world-class researchers, deploy production systems at massive scale, and explore novel research directions shaping our future product strategy. Safety remains paramount—your work will balance innovation with responsible AI deployment.

Based in San Francisco, this position offers exposure to cutting-edge AI challenges while contributing to OpenAI's mission of ensuring artificial general intelligence benefits all humanity.

Key Responsibilities

Your day-to-day will span the full stack of retrieval engineering:

  • Design and implement advanced retrieval algorithms for diverse domains including document search and enterprise knowledge bases
  • Build scalable vector search infrastructure using state-of-the-art databases and indices
  • Deploy production search systems integrated with ChatGPT and OpenAI API serving millions daily
  • Collaborate closely with research scientists on novel retrieval methodologies and RAG architectures
  • Optimize search performance for sub-second latency at internet scale
  • Partner with product managers to translate user needs into technical requirements
  • Work with designers creating intuitive search interfaces powered by AI
  • Conduct experiments evaluating retrieval effectiveness across benchmarks
  • Maintain production ML systems with 99.99%+ uptime requirements
  • Explore long-term research directions informing OpenAI's product roadmap
  • Scale search infrastructure to handle exponential query growth
  • Integrate retrieval systems with frontier large language models
  • Monitor and iterate on live production metrics driving continuous improvement

Expect to own projects end-to-end, from initial research through production deployment and ongoing optimization.

Qualifications

We're looking for engineers who thrive in ambiguous, high-impact environments:

  • 5+ years building production ML systems, preferably search/retrieval focused
  • Deep experience with vector databases (Pinecone, Weaviate, FAISS, etc.)
  • Proven success scaling search systems to internet-scale traffic
  • Strong Python skills and ML framework proficiency (PyTorch/TensorFlow)
  • Experience owning complex technical projects from research to production
  • Comfort navigating competing priorities and tight deadlines
  • Demonstrated ability to learn new domains rapidly
  • Excellent cross-functional collaboration skills
  • Passion for responsible AI development and deployment
  • San Francisco Bay Area location preferred

Salary & Benefits

Competitive Compensation: Total compensation for this senior Research Engineer role typically ranges from $285,000 - $425,000 annually, including base salary, equity, and bonus potential. Exact figures depend on experience and qualifications.

Comprehensive Benefits Package:

  • Premium medical, dental, vision coverage
  • 401(k) with generous matching
  • Unlimited PTO policy
  • Parental leave and family benefits
  • Professional growth stipend
  • Equity in a high-growth AI leader
  • Catered meals and team events
  • State-of-the-art San Francisco office
  • Relocation support available

OpenAI offers compensation competitive with top tech companies while prioritizing mission impact over traditional perks.

Why Join OpenAI?

OpenAI represents humanity's best hope for safe AGI development. Your work here directly shapes how billions interact with AI:

  • Mission-Driven Impact: Build technology benefiting all humanity, with safety as the north star
  • Technical Excellence: Work with the world's top AI researchers and engineers
  • Product Reach: Ship features used by millions through ChatGPT and API
  • Research Freedom: Explore novel ideas influencing our long-term roadmap
  • Career Growth: Rapid learning environment with unparalleled challenges

Unlike traditional tech companies, OpenAI prioritizes responsible development over unchecked growth. You'll join a values-driven team committed to safe AI deployment.

How to Apply

Ready to shape the future of AI search? Submit your application including:

  • Resume/CV highlighting relevant experience
  • GitHub/portfolio with production ML projects
  • Brief cover letter explaining your interest in retrieval/search at OpenAI

Our interview process includes technical screens, system design, research discussions, and team fit interviews. We evaluate holistically, valuing diverse experiences and perspectives.

OpenAI is an equal opportunity employer committed to diversity. We encourage applications from underrepresented backgrounds.

Keywords: OpenAI Research Engineer, Retrieval Engineer, Search Engineer, RAG Engineer, Vector Search, Production ML, AI Search Systems, ChatGPT Engineering, San Francisco AI Jobs

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangehigh confidence

299,250 - 467,500 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Retrieval Augmented Generation (RAG)intermediate
  • Vector Databasesintermediate
  • Search Algorithmsintermediate
  • Machine Learning Systemsintermediate
  • Production ML Deploymentintermediate
  • Internet-Scale Searchintermediate
  • Document Searchintermediate
  • Enterprise Searchintermediate
  • Knowledge Retrievalintermediate
  • Web-Scale Searchintermediate
  • Vector Embeddingsintermediate
  • Search Indicesintermediate
  • LLM Integrationintermediate
  • AI Product Developmentintermediate
  • Algorithm Optimizationintermediate
  • Data Retrieval Systemsintermediate
  • Scalable ML Pipelinesintermediate
  • Cross-Functional Collaborationintermediate
  • Research Engineeringintermediate
  • Production Systems Engineeringintermediate

Required Qualifications

  • Extensive experience building and maintaining production machine learning systems at scale (experience)
  • Hands-on experience with vector databases like Pinecone, Weaviate, or FAISS (experience)
  • Proven track record working with search indices and retrieval systems (experience)
  • Experience developing and iterating on internet-scale search infrastructure (experience)
  • Strong background in retrieval algorithms and semantic search methodologies (experience)
  • Ability to own complex problems end-to-end from research to production (experience)
  • Comfortable working in fast-paced environments with ambiguous requirements (experience)
  • Experience collaborating with research, engineering, product, and design teams (experience)
  • Deep understanding of document search, enterprise search, and knowledge retrieval (experience)
  • Proficiency in Python, ML frameworks (PyTorch/TensorFlow), and cloud infrastructure (experience)
  • Demonstrated ability to deploy ML models serving millions of users (experience)
  • Experience exploring novel research topics in retrieval and search domains (experience)

Responsibilities

  • Develop and optimize retrieval algorithms for document search applications
  • Build enterprise search systems integrated with OpenAI's API and ChatGPT
  • Design and implement knowledge retrieval pipelines for AI products
  • Create web-scale search infrastructure handling millions of queries daily
  • Collaborate with research team on cutting-edge retrieval methodologies
  • Deploy search systems into production environments serving global users
  • Explore novel research topics influencing medium and long-term product strategy
  • Partner with product managers to define search feature roadmaps
  • Work with designers to create intuitive search user experiences
  • Maintain and scale vector databases and search indices
  • Optimize retrieval performance for latency-sensitive applications
  • Conduct experiments evaluating retrieval system effectiveness
  • Integrate retrieval systems with large language models (LLMs)
  • Monitor and improve production search system reliability

Benefits

  • general: Comprehensive medical, dental, and vision insurance plans
  • general: 401(k) retirement plan with generous company matching
  • general: Unlimited PTO with encouraged time away
  • general: Mental health support through dedicated programs
  • general: Parental leave policies supporting work-life balance
  • general: Professional development stipend for conferences and courses
  • general: Equity compensation with significant growth potential
  • general: Weekly team lunches and catered meals
  • general: State-of-the-art office in San Francisco
  • general: Relocation assistance for new hires
  • general: Fitness reimbursement and wellness programs
  • general: Generous learning and development budget
  • general: Volunteer time off for community service
  • general: Cutting-edge AI research opportunities

Target Your Resume for "Research Engineer, Retrieval & Search, Applied Engineering Careers at OpenAI - San Francisco, California | Apply Now!" , OpenAI

Get personalized recommendations to optimize your resume specifically for Research Engineer, Retrieval & Search, Applied Engineering Careers at OpenAI - San Francisco, California | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Research Engineer, Retrieval & Search, Applied Engineering Careers at OpenAI - San Francisco, California | Apply Now!" , OpenAI

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

OpenAI research engineer jobsretrieval engineer OpenAIsearch engineer San FranciscoRAG engineer careersvector database engineerproduction ML engineer OpenAIChatGPT search engineeringAI retrieval systems jobsinternet scale search engineerenterprise search engineerknowledge retrieval OpenAIweb scale search careersSan Francisco AI engineering jobsOpenAI applied engineeringmachine learning research engineervector search OpenAIsemantic search engineerLLM retrieval augmentationAI product engineering OpenAIproduction search systemsOpenAI retrieval careersSF machine learning jobsApplied AI

Answer 10 quick questions to check your fit for Research Engineer, Retrieval & Search, Applied Engineering Careers at OpenAI - San Francisco, California | Apply Now! @ OpenAI.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.