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OpenAI News

Using custom GPTs ChatGPT for customer success teams Applications of AI at OpenAI Research with ChatGPT Analyzing data with ChatGPT Financial services Responsible and safe use of AI Writing with ChatGPT ChatGPT for research Creating images with ChatGPT Personalizing ChatGPT ChatGPT for finance teams Getting started with ChatGPT Working with files in ChatGPT ChatGPT for sales teams Prompting fundamentals ChatGPT for managers Using projects in ChatGPT ChatGPT for marketing teams Brainstorming with ChatGPT AI fundamentals ChatGPT for operations teams Healthcare Our response to the Axios developer tool compromise Using skills OpenAI Full Fan Mode Contest: Terms & Conditions CyberAgent moves faster with ChatGPT Enterprise and Codex The next phase of enterprise AI Introducing the Child Safety Blueprint Introducing the OpenAI Safety Fellowship Industrial policy for the Intelligence Age OpenAI acquires TBPN Codex now offers more flexible pricing for teams Gradient Labs gives every bank customer an AI account manager OpenAI raises $122 billion to accelerate the next phase of AI Helping disaster response teams turn AI into action across Asia STADLER reshapes knowledge work at a 230-year-old company Inside our approach to the Model Spec Introducing the OpenAI Safety Bug Bounty program Helping developers build safer AI experiences for teens Update on the OpenAI Foundation Powering Product Discovery in ChatGPT Creating with Sora Safely How we monitor internal coding agents for misalignment OpenAI to acquire Astral Introducing GPT-5.4 mini and nano OpenAI Japan announces Japan Teen Safety Blueprint to put teen safety first Equipping workers with insights about compensation Why Codex Security Doesn’t Include a SAST Report Designing AI agents to resist prompt injection From model to agent: Equipping the Responses API with a computer environment Rakuten fixes issues twice as fast with Codex Wayfair boosts catalog accuracy and support speed with OpenAI Improving instruction hierarchy in frontier LLMs New ways to learn math and science in ChatGPT OpenAI to acquire Promptfoo Codex Security: now in research preview How Descript engineers multilingual video dubbing at scale How Balyasny Asset Management built an AI research engine Reasoning models struggle to control their chains of thought, and that’s good Introducing GPT-5.4 GPT-5.4 Thinking System Card Ensuring AI use in education leads to opportunity VfL Wolfsburg turns ChatGPT into a club-wide capability OpenAI and NORAD team up to bring new magic to “NORAD Tracks Santa” Accenture and OpenAI accelerate enterprise AI success OpenAI takes an ownership stake in Thrive Holdings to accelerate enterprise AI adoption What to know about a recent Mixpanel security incident Expanding data residency access to business customers worldwide Our approach to mental health-related litigation Inside JetBrains—the company reshaping how the world writes code Introducing shopping research in ChatGPT How GPT-5 helped mathematician Ernest Ryu solve a 40-year-old open problem OpenAI and Foxconn collaborate to strengthen U.S. manufacturing across the AI supply chain Disrupting malicious uses of AI: June 2025 Creating websites in minutes with AI Website Builder Addendum to OpenAI o3 and o4-mini system card: OpenAI o3 Operator OpenAI Deutschland Shipping code faster with o3, o4-mini, and GPT-4.1 Introducing Stargate UAE New tools and features in the Responses API Introducing Codex Addendum to o3 and o4-mini system card: Codex AI powers Expedia’s marketing evolution Strengthening America’s AI leadership with the U.S. National Laboratories Introducing ChatGPT Gov Operator System Card Computer-Using Agent Introducing Operator Bertelsmann powers creativity and productivity with OpenAI Trading Inference-Time Compute for Adversarial Robustness Announcing The Stargate Project Stargate Infrastructure The power of personalized AI Delivering LLM-powered health solutions Increasing accuracy of pediatric visit notes Practices for Governing Agentic AI Systems Superalignment Fast Grants Weak-to-strong generalization Partnership with Axel Springer to deepen beneficial use of AI in journalism
OpenAI Scholars 2020: Applications open
2019-10-11 · via OpenAI News

We’re open to all experience levels and backgrounds that meet the below criteria—it’s a common myth that you need a PhD to work in AI (many OpenAI employees don’t have one).

We look for people who are comfortable writing software (2+ years in software engineering), but no previous machine learning experience is required. This is a remote program open to anyone already with US work authorization located in US timezones. We ask all Scholars to document(opens in a new window) their experiences studying deep learning to hopefully inspire others to join the field too.

You are eligible to apply if:

  • You are a member of an underrepresented group in science and engineering. Our goal is for this program to be as inclusive as possible. if you feel you belong to a group not listed here that is underrepresented in science and engineering, please apply and mention it in your application.
  • You have 2+ years experience in software engineering (no machine learning experience required)
  • You already have US work authorization and are located in the United States for the duration of the program.
  • You are comfortable programming in Python (other languages are helpful, but you’ll spend the program writing in Python).

We’ll use these criteria for selection:

  • Technical skills. The stronger your technical background, the more time you’ll spend focusing on the deep learning itself.
  • Self-motivation. We’re looking for people who are experienced in being self-directed on large and challenging projects, and who will be successful at independent work.
  • Leadership abilities. We want to hear from people who are interested in community building and who will work to inspire others (in the program and externally) to endeavor to learn deep learning as well.

Applications will be evaluated on a rolling basis.

Questions? Email scholars@openai.com