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OpenAI

About The Team API Multimodal builds the developer-facing products and infrastructure that bring OpenAI’s image, audio, and real-time model capabilities into the world. We are responsible for high-scale multimodal APIs, including image generation and Live API. We partner closely with Research and Inference to bring frontier model capabilities to developers and use customer feedback to improve our models. About The Role As a software engineer on API Multimodal, you will build and operate the products and distributed systems behind OpenAI’s image, audio, and real-time APIs. You will work across model integration, API design, and production infrastructure to turn new research capabilities into reliable developer experiences. This hands-on role combines backend and systems depth with product judgment: you will own projects end to end, partner with Research, Inference, and Safety, and help make multimodal AI useful at scale. Model training experience is not required. In This Role, You Will <ul><li>Design, build, and ship developer-facing APIs and backend services that serve frontier models.</li><li>Architect low-latency streaming, request, session, and model integration systems that make complex multimodal interactions reliable and intuitive at scale.</li><li>Work directly with Research to bring new model capabilities into production, shape the systems around them, and incorporate feedback from real-world developers and customers.</li><li>Own the availability, latency, scalability, and cost efficiency of the services you build.</li><li>Own projects from technical design and implementation through launch and ongoing iteration, while raising the team’s engineering standards. </li></ul>Your Background Might Look Something Like <ul><li>7+ years of professional experience, excluding internships, in backend, infrastructure, platform, or product engineering roles.</li><li>A track record of designing, building, and operating production backend services, developer-facing APIs, or distributed systems.</li><li>Strong software engineering and systems fundamentals, with experience leading technically complex projects from ambiguous ideas to production.</li><li>Proficiency in one or more general-purpose backend languages, such as Python, Go, Rust, or TypeScript.</li><li>Experience building reliable, scalable systems and reasoning about distributed architecture, concurrency, latency, observability, and operational tradeoffs.</li><li>Product judgment and developer empathy, including an ability to turn complex model or infrastructure capabilities into clear, intuitive APIs.</li><li>Clear communication and a collaborative approach to working with researchers, product managers, designers, infrastructure engineers, and customers.</li><li>A strong sense of ownership, comfort with ambiguity, and a bias toward learning directly from users while continuously improving engineering quality.</li><li>Experience with real-time streaming, audio processing, speech systems, image generation, computer vision, or multimodal AI applications is helpful, but not required. </li></ul>About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation Range: $266K - $445K

About The Team
API Multimodal builds the developer-facing products and infrastructure that bring OpenAI’s image, audio, and real-time model capabilities into the world. We are responsible for high-scale multimodal APIs, including image generation and Live API. We partner closely with Research and Inference to bring frontier model capabilities to developers and use customer feedback to improve our models.
About The Role
As a software engineer on API Multimodal, you will build and operate the products and distributed systems behind OpenAI’s image, audio, and real-time APIs. You will work across model integration, API design, and production infrastructure to turn new research capabilities into reliable developer experiences. This hands-on role combines backend and systems depth with product judgment: you will own projects end to end, partner with Research, Inference, and Safety, and help make multimodal AI useful at scale. Model training experience is not required.
In This Role, You Will
Design, build, and ship developer-facing APIs and backend services that serve frontier models.
Architect low-latency streaming, request, session, and model integration systems that make complex multimodal interactions reliable and intuitive at scale.
Work directly with Research to bring new model capabilities into production, shape the systems around them, and incorporate feedback from real-world developers and customers.
Own the availability, latency, scalability, and cost efficiency of the services you build.
Own projects from technical design and implementation through launch and ongoing iteration, while raising the team’s engineering standards.
Your Background Might Look Something Like
7+ years of professional experience, excluding internships, in backend, infrastructure, platform, or product engineering roles.
A track record of designing, building, and operating production backend services, developer-facing APIs, or distributed systems.
Strong software engineering and systems fundamentals, with experience leading technically complex projects from ambiguous ideas to production.
Proficiency in one or more general-purpose backend languages, such as Python, Go, Rust, or TypeScript.
Experience building reliable, scalable systems and reasoning about distributed architecture, concurrency, latency, observability, and operational tradeoffs.
Product judgment and developer empathy, including an ability to turn complex model or infrastructure capabilities into clear, intuitive APIs.
Clear communication and a collaborative approach to working with researchers, product managers, designers, infrastructure engineers, and customers.
A strong sense of ownership, comfort with ambiguity, and a bias toward learning directly from users while continuously improving engineering quality.
Experience with real-time streaming, audio processing, speech systems, image generation, computer vision, or multimodal AI applications is helpful, but not required.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Compensation Range: $266K - $445K

Software Engineer, API Multimodal

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OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests first — ahead of profit. To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, and championed and supported by leadership. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Krish Bandaru

OpenAI models are coming to Google Cloud.
We're partnering with Google Cloud to bring OpenAI's frontier models and Codex agentic workflows into Google Cloud's model garden, giving enterprises access to our technology in the environment where they already build.
Teams will be able to modernize software development and build agentic workflows with Google Cloud's built-in access controls, data governance, and infrastructure.
Customers will also be able to purchase OpenAI models through Google Cloud Marketplace and apply existing Google Cloud spend commitments, giving them more flexibility in how they adopt frontier AI.
General availability is planned in the coming weeks. Learn more: https://lnkd.in/etZTxJrq

ChatGPT Ads is expanding to 26 new countries, bringing availability to 89 countries worldwide.
Over 100,000 advertisers have already run campaigns on ChatGPT. This expansion gives more local businesses and global brands a way to reach people as they explore, compare options, and decide what to buy.
The new markets include 14 additional countries in Latin America, along with countries across Europe, the Middle East, Africa, and Asia. Businesses can get started through Ads Manager or our technology partners.
Our ads principles remain the same: conversations stay private from advertisers, ads are clearly labeled and separate from ChatGPT’s answers, and advertising does not influence those answers.
Learn more and start advertising: https://ads.openai.com/
https://lnkd.in/ex-v3xmp

We’re expanding access to GPT-Rosalind for academic research.
The new Rosalind Academic Plan helps scientific labs at academic institutions bring AI into the work of understanding biology, exploring ideas, and deciding what to test next—with sponsored access for eligible labs at U.S. universities.
Academic research creates knowledge that entire fields build on. A fundamental question about biology can open new directions in medicine, drug discovery, or our understanding of disease. We want more researchers to have access to tools that support that work.
GPT-Rosalind is built for life sciences research, helping scientists reason across scientific literature and biological data. Researchers bring the expertise and judgment to evaluate the evidence and decide which ideas to pursue.
Eligible labs can receive up to 12 months of sponsored access to OpenAI tools, with GPT-Rosalind access subject to trusted-access approval.
Learn about the Rosalind Academic Plan, check your lab’s eligibility, and find out how to apply:
https://lnkd.in/eP9iXYRu

GPT-6 and Intelligent UI, now rolling out in ChatGPT for everyone.
Intelligent UI in ChatGPT delivers fast, interactive answers that make everyday questions more visual, complex topics easier to grasp, and interactive tools for your task available on the spot.
With Intelligent UI, GPT‑6 can now compose responses using text, visuals, and interactive elements, choosing how they fit together based on your question.
Responses can include graphics and charts to help explain an idea, along with tappable buttons, forms, and interactive experiences you can use directly in your conversation.
GPT‑6 with Intelligent UI rolls out globally to Plus, Pro, Business and Enterprise users today and will expand to Free and Go users starting tomorrow.
GPT‑6 in ChatGPT is powered by GPT‑6 Sol for Plus, Pro, Business, and Enterprise tiers, and GPT‑6 Luna for Free and Go tiers. Both are tuned for everyday conversation.
This update applies to the Chat tab in ChatGPT. The models powering Work and Codex are not changing as part of this release.
https://lnkd.in/gKCKpQ-R

Today we’re sharing early progress on ChatGPT for Teens, new ways to study and plan for college, and support for the people helping young people prepare for their future.
ChatGPT for Teens is automatically applied to accounts identified as under 18, with protections on by default. We’ll continue evaluating the experience and improving it with feedback from teens, families and educators.
In one week, nearly 1.2 million teens used Learning Visualizations to explore math and science concepts, and more than 180,000 used Study Mode for step-by-step learning support.
Here’s what’s next:
• College Planner, coming soon, will bring application requirements, deadlines, tasks and financial-aid steps into one plan. The initial U.S. experience is designed for high-school students in grades 10–12 planning for a four-year college.
• More ways to study: scan notes into one PDF on iOS, make flashcards to revisit, and turn uploaded notes into interactive quizzes.
• Support for College Advising Corps to expand into new states and create an AI fellowship for advisers.
• Three years of support for Boston Children’s Hospital’s Digital Wellness Lab and its independent Student Advisory Council, helping young people test tools and recommend changes.
We’ll keep sharing what we learn as ChatGPT for Teens evolves.
https://lnkd.in/eZ3dPFMA

We’re working with Ironclad to help AI agents get better at complex professional work.
Together, we’ve turned contracting workflows—like configuring procurement approvals and updating reusable legal terms—into tasks for training and evaluating our models. Ironclad’s expertise helps us define success around the requirements and controls that matter to legal and business teams.
On our evaluation of 11 research tasks, GPT‑6 Astra achieved a 32% higher average score than GPT‑5.6 Sol, with 48% less estimated time per attempt. These time estimates are simulated, not measured customer time savings.
This collaboration is helping us study how agents can follow business rules, carry out multistep workflows, and verify their results. Human oversight remains essential as these capabilities improve.
We’re inviting a small number of software companies to help advance this research. If your team has an important professional workflow that today’s agents still struggle to complete reliably, we’d like to hear from you.
https://lnkd.in/gV8XmXG3

The Lenfest Institute for Journalism is helping local newsrooms across the country use AI to serve their communities, strengthen their businesses and deliver high-quality news.
We’re looking forward to continuing our partnership and supporting the program’s expansion to help more news organizations build on that work.
https://lnkd.in/e93MjWk6

From personal agents and collaborative work spaces to a new affordable frontier model and an ultrafast mode—here’s a peek at what just dropped at DevDay 2026 ⬇️
https://lnkd.in/e4jfz3dm

Introducing dots, powered by GPT-6 Astra.
Remarkably capable, always-on agents built to handle everything.
Your dot can do simple things like book a table—or take on your most ambitious work with the initiative of a high-agency engineer or chief of staff.
It has its own computer and works across 4,000+ apps through ChatGPT, using the plugins you connect.
It learns what you need and gets to work before you ask, quietly in the background, 24/7.
You always stay in control. Set boundaries and specify what your dot can do on its own, when it should ask first, and what it should never do.
Safety is built in. You choose which apps to connect, and your dot runs on its own cloud computer—so connecting yours is entirely optional.
Dots will be available in ChatGPT on web, mobile, and desktop across Pro, Business Premium, and Enterprise users in eligible markets.
To get started, create your first dot in the ChatGPT desktop app or your desktop browser, connect your apps, and let it introduce itself.
https://lnkd.in/gRumKEQK

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