How to Apply to OpenAI

Key Takeaways

Before applying, spend at least a week actively using ChatGPT (including the API), reading OpenAI's research blog, and forming specific opinions about the company's products and technical direction — interviewers will probe for this depth
Tailor your resume to the specific OpenAI role using exact keywords from the job description, and format it as a single-column PDF to ensure clean parsing through Ashby's ATS
Quantify every major accomplishment on your resume with metrics that demonstrate scale — user counts, latency improvements, revenue impact, model performance benchmarks — since OpenAI operates at global consumer scale
Prepare a clear, authentic narrative about why OpenAI's mission matters to you personally, including your perspective on AI safety and alignment — this isn't a throwaway question but a genuine hiring criterion
Build or polish your public technical portfolio (GitHub, blog posts, papers, talks) before applying — OpenAI heavily weighs evidence of building and contributing beyond your day job
Apply to no more than 2-3 roles simultaneously to avoid appearing unfocused, and ensure each application is meaningfully tailored to the specific team and function
If you don't hear back within 2-3 weeks, consider reaching out to OpenAI employees on LinkedIn with a thoughtful, specific message about the role — employee referrals carry significant weight in a company receiving thousands of applications per position

About OpenAI

OpenAI is the artificial intelligence research and deployment company behind ChatGPT, GPT-4, DALL-E, Sora, and some of the most consequential technology of the decade. Founded in 2015 with the mission to ensure artificial general intelligence (AGI) benefits all of humanity, OpenAI operates as a capped-profit entity backed by Microsoft and other major investors, positioning it at the absolute frontier of AI development. Headquartered in San Francisco with growing offices in New York City, Singapore, and other global hubs, OpenAI has rapidly scaled from a research lab into a product powerhouse — ChatGPT alone reached 100 million users faster than any consumer application in history. What makes OpenAI distinct as an employer is the collision of deep research ambition with consumer-scale product impact. Engineers and researchers here don't just publish papers — they ship models that reshape entire industries overnight. The culture is famously intense, intellectually demanding, and mission-oriented. Employees frequently describe a flat hierarchy where individual contributors can have outsized influence, and where the pace of iteration is unlike anything in traditional tech. With 672+ open roles spanning mobile engineering, AI deployment, security, hardware exploration, and forward-deployed engineering across financial services and media partnerships, OpenAI is aggressively expanding beyond its research roots. The company attracts candidates who thrive in ambiguity, care deeply about AI safety and alignment, and want their work to define the trajectory of one of the most transformative technologies ever built. Competition for roles is fierce — OpenAI reportedly receives thousands of applications per position — making a deliberate, well-crafted application strategy essential.

Application Process

1
Identify the Right Role on OpenAI's Careers Page
OpenAI's careers page at openai.com/careers organizes its 672+ open positions across teams like ChatGPT, Platform, Safety Systems, Research, and Applied AI. Roles range from deeply technical (Android Engineer, iOS Engineer, Security Observability) to hybrid business-technical positions (Forward Deployed Engineer, AI Deployment Manager, Administrative Business Partner). Spend time understanding which team aligns with your background — OpenAI's team structure is evolving rapidly, and the same skill set might fit multiple roles across different product areas.
2
Submit Your Application Through Ashby
OpenAI uses Ashby as its applicant tracking system, which means your application is parsed, scored, and organized through Ashby's structured pipeline. You'll typically upload your resume, provide contact details, and answer role-specific questions. Some postings include optional fields for links to GitHub profiles, personal websites, or portfolios — treat these as effectively mandatory, since OpenAI's hiring teams commonly use them to evaluate technical depth beyond what a resume conveys.
3
Recruiter Screen and Initial Evaluation
If your application advances, a recruiter will typically reach out to schedule a 20-30 minute introductory call. Expect questions about your motivation for joining OpenAI specifically, your understanding of the company's mission and products, and a high-level walkthrough of your most relevant experience. OpenAI recruiters are known to probe for genuine familiarity with the company's technology stack and products — generic enthusiasm about AI won't differentiate you from thousands of other applicants.
4
Technical Screen or Take-Home Assessment
For engineering and research roles, OpenAI commonly conducts a technical phone screen or assigns a take-home project. Engineering screens often involve live coding in Python or your language of choice, with problems testing algorithmic thinking, systems reasoning, or ML-specific concepts depending on the role. Forward Deployed Engineer and AI Deployment roles may involve scenario-based assessments focused on how you'd architect solutions for enterprise clients or specific industry verticals like financial services or media.
5
Onsite or Virtual Interview Loop
The full interview loop at OpenAI typically consists of 4-6 sessions conducted over a half or full day, either onsite at their San Francisco headquarters or virtually. Expect a mix of system design, coding, domain expertise deep-dives, and behavioral interviews. Many candidates report that at least one session focuses explicitly on alignment with OpenAI's mission and your perspective on AI safety — this is not a formality but a genuine evaluation criterion that carries weight in hiring decisions.
6
Cross-Functional Calibration and Hiring Committee Review
OpenAI is known to run a calibration process where interview feedback is reviewed by a hiring committee that may include senior leaders beyond the immediate team. This step exists to maintain a high hiring bar across the organization and to assess whether a candidate would thrive in OpenAI's fast-moving, ambiguity-heavy environment. The committee evaluates not just technical competence but also signal strength on collaboration, intellectual curiosity, and cultural alignment.
7
Offer, Negotiation, and Onboarding
Successful candidates receive an offer that typically includes base salary, equity (in the form of profit participation units or PPUs given OpenAI's capped-profit structure), and benefits. Given the unique equity structure, recruiters will often schedule a dedicated call to explain compensation details. Onboarding at OpenAI reportedly moves quickly, with new hires getting access to internal tools and codebases early, reflecting the company's bias toward rapid contributor integration.

Resume Tips for OpenAI

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Lead with AI/ML Impact, Not Just Responsibilities

OpenAI is hiring people who build and ship AI-powered products at scale. Your resume should lead each role description with measurable outcomes — models deployed, latency reduced, user-facing features shipped, or research contributions that advanced state-of-the-art benchmarks. Instead of 'Worked on machine learning pipeline,' write 'Reduced inference latency by 40% on a GPT-based summarization service handling 2M daily requests.' OpenAI reviewers scan for evidence that you've operated at the intersection of research rigor and production impact.

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Mirror OpenAI's Technical Vocabulary Precisely

Ashby's parsing engine and OpenAI's reviewers will look for terminology that matches their ecosystem. Use specific terms like 'large language models,' 'transformer architectures,' 'RLHF (reinforcement learning from human feedback),' 'inference optimization,' 'prompt engineering,' 'fine-tuning,' 'RAG (retrieval-augmented generation),' and 'API integration' where genuinely applicable to your experience. For mobile roles (Android/iOS ChatGPT infrastructure), include terms like 'on-device ML,' 'mobile performance optimization,' and 'cross-platform architecture.' Matching the exact language from the job posting signals domain fluency.

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Showcase Scale and Systems Thinking

OpenAI's products serve hundreds of millions of users. Your resume must demonstrate that you've worked at meaningful scale or can reason about scale. Quantify user bases, request volumes, data sizes, and infrastructure scope. Even if your prior company was small, frame your contributions in terms of scalable architecture decisions — OpenAI needs engineers who think in terms of global deployment, not local prototypes. For non-engineering roles like AI Deployment Manager, emphasize the scale and complexity of client engagements or partnerships you've managed.

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Include Open Source Contributions and Public Work

OpenAI values builders who contribute to the broader AI ecosystem. If you have GitHub repositories, published papers, conference talks, Kaggle competition results, or open-source contributions — especially those related to LLMs, NLP, computer vision, or AI safety — list them prominently. Ashby allows you to add URL links in your application; ensure your GitHub and personal site are polished and reflect your best technical work. A strong public portfolio can compensate for gaps in traditional credentials.

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Demonstrate Mission Alignment Through Experience Choices

OpenAI's hiring bar isn't purely technical — they filter for people who genuinely care about safe, beneficial AI. If you've worked on AI ethics, safety, red-teaming, content moderation systems, or responsible AI frameworks, give these experiences prominent placement. Even tangential experience like security engineering, adversarial testing, or policy work signals relevant values. In your resume summary or objective line, briefly articulate why OpenAI's mission resonates with you — reviewers take this seriously in a way that's uncommon at other tech companies.

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Keep Formatting Clean for Ashby Parsing

Ashby handles standard resume formats well, but complex layouts with multiple columns, text boxes, headers/footers, or embedded images can disrupt parsing. Use a single-column layout with clear section headers (Experience, Education, Skills, Projects). Submit as PDF to preserve formatting. Avoid graphics-heavy resume templates — OpenAI's internal review tools will display parsed text, and broken formatting creates friction that hurts your candidacy before a human even reads the content.

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Tailor Your Resume for Each Specific OpenAI Role

With 672+ open positions across wildly different functions — from Hardware Exploratory in Singapore to Financial Services FDE in NYC to iOS ChatGPT Infrastructure — a single generic resume won't work. Customize your experience bullets to mirror the specific job description's requirements. An AI Deployment Engineer role emphasizing 'media partnerships' needs different framing than a Security Observability engineering role. Ashby tracks each application separately, so submitting tailored versions for different roles is both possible and advisable, though applying to more than 2-3 roles simultaneously may raise flags.

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Highlight Speed of Execution and Startup Mentality

Despite its massive valuation and brand, OpenAI operates with the intensity of an early-stage startup. Emphasize experiences where you shipped quickly, operated in ambiguous environments, wore multiple hats, or made high-stakes decisions with incomplete information. Phrases like 'zero-to-one product launch,' 'rapid prototyping,' and 'iterated on weekly release cycles' resonate strongly. If you've worked at fast-growth startups or within innovation teams at larger companies, make those environments explicit in your descriptions.

ATS System: Ashby

Ashby is a modern applicant tracking and recruiting analytics platform favored by high-growth technology companies. It combines structured hiring pipelines with powerful search and filtering capabilities, meaning your resume is parsed into structured fields and can be surfaced (or buried) based on keyword matches, role fit signals, and recruiter search queries. Ashby also supports automated screening workflows, so your application may be filtered before a human reviews it.

Use a single-column PDF format — Ashby parses this most reliably and avoids the text extraction issues common with multi-column or designed resume templates
Include exact keywords from the OpenAI job posting in your experience bullets, as Ashby's search and filtering tools let recruiters query for specific terms like 'LLM,' 'RLHF,' or 'mobile infrastructure'
Fill out every field in the application form completely — Ashby's structured data fields are used for filtering, and blank optional fields can reduce your visibility in recruiter searches
Avoid headers, footers, and text boxes in your resume, as Ashby's parser may skip or misread content placed in these elements
Add URLs to your GitHub, portfolio, LinkedIn, and personal website in dedicated fields rather than embedding them only in your resume — Ashby surfaces these as clickable links for reviewers
Use standard section headings (Work Experience, Education, Skills, Projects) so Ashby correctly categorizes your resume content into its structured database
If applying to multiple OpenAI roles, submit separate tailored applications — Ashby tracks each application independently and allows recruiters to see your full application history

Complete Ashby Resume Guide →

Interview Culture

Interviewing at OpenAI is a rigorous, high-signal process designed to identify candidates who combine elite technical ability with genuine mission alignment and the temperament to thrive in a fast-moving, high-stakes environment. The process typically spans 3-5 weeks from initial application to final decision, though timelines can compress for exceptional candidates or urgent hiring needs. For engineering roles, expect the interview loop to include 4-6 sessions: typically one or two coding interviews (often Python-centric, testing algorithmic thinking and clean implementation), a system design round focused on building scalable AI-powered systems, a domain-specific deep-dive relevant to the team (e.g., mobile performance optimization for ChatGPT Mobile Infrastructure, or security architecture for Security Observability), and at least one behavioral/values interview. The behavioral round at OpenAI carries more weight than at most tech companies — interviewers actively assess your perspective on AI safety, your ability to navigate ethical complexity, and how you handle disagreement in high-stakes technical decisions. For non-engineering roles like AI Deployment Manager, Forward Deployed Engineer, or Administrative Business Partner, the loop commonly includes case study presentations, stakeholder management scenarios, and role-specific simulations. FDE candidates in financial services, for example, may be asked to walk through how they'd scope and deliver an AI solution for a banking client. You'll likely meet a mix of peers, hiring managers, and at least one senior leader or cross-functional stakeholder. OpenAI interviewers are known to be deeply technical regardless of their title — be prepared for follow-up questions that probe the edges of your knowledge. The culture rewards intellectual honesty: saying 'I don't know, but here's how I'd figure it out' is far more valued than bluffing. Demonstrating curiosity about OpenAI's specific products, recent model releases, and safety research signals the kind of engaged, mission-driven candidate they're looking for. Many successful candidates report spending significant time using ChatGPT, reading OpenAI's research blog, and forming genuine opinions about the company's technical direction before their interviews.

What OpenAI Looks For

Exceptional technical depth combined with the ability to ship production-quality code rapidly — OpenAI values builders who can move from research prototype to scaled deployment
Genuine, informed passion for OpenAI's mission of developing safe AGI — surface-level enthusiasm is easily distinguished from candidates who've deeply engaged with the company's research and products
Comfort with extreme ambiguity and fast-changing priorities — OpenAI's product roadmap evolves at a pace that requires adaptable, self-directed contributors
Strong collaborative instincts and low ego — the flat organizational structure means you'll work directly with researchers, engineers, and leadership without rigid hierarchy
Systems-level thinking about AI safety, alignment, and societal impact — even for roles that aren't directly safety-focused, OpenAI expects employees to reason carefully about the consequences of their work
Evidence of outsized impact relative to team size or seniority — OpenAI favors candidates who've driven results beyond their formal scope, whether through open-source contributions, entrepreneurial projects, or transformative work at prior companies
Strong written and verbal communication skills — in a fast-moving organization where asynchronous coordination is critical, the ability to communicate complex ideas clearly is non-negotiable
Intellectual curiosity that extends beyond your immediate domain — OpenAI's most valued employees tend to be polymaths who read papers outside their specialty and form cross-disciplinary opinions

Frequently Asked Questions

How long does the OpenAI hiring process typically take from application to offer?

Based on candidate reports, OpenAI's full hiring process typically takes 3-6 weeks from initial application to final offer, though this varies significantly by role and team urgency. The recruiter screen usually happens within 1-2 weeks of application review, followed by technical screens and a full interview loop spaced over 2-3 weeks. For high-priority roles or exceptional candidates, the process can compress to as little as 2 weeks. Given the volume of applications OpenAI receives, it's not uncommon to wait several weeks before hearing back — patience is warranted, and a single follow-up email to your recruiter after 2 weeks is generally appropriate.

Do I need a PhD or AI research background to get hired at OpenAI?

A PhD is not required for the majority of OpenAI's open roles. While research scientist positions typically expect doctoral-level expertise, the bulk of OpenAI's 672+ open positions — including software engineering, mobile infrastructure, security, AI deployment, forward deployed engineering, and operations roles — prioritize demonstrated ability to build and ship production-quality work. Many successful OpenAI engineers come from strong industry backgrounds at companies like Google, Meta, Stripe, or high-growth startups. What matters more than credentials is evidence of exceptional technical ability, a track record of high-impact work, and genuine engagement with AI as a field.

Should I submit a cover letter when applying to OpenAI?

OpenAI's Ashby-powered application typically doesn't include a dedicated cover letter upload field for most roles, but some positions include an open-text field where you can provide additional context. If this field is available, use it strategically — don't write a generic cover letter, but instead offer 3-4 sentences explaining specifically why this role at OpenAI aligns with your skills and mission interest. Mention a specific OpenAI product, research paper, or technical challenge that excites you. If there's no such field, your resume and any linked portfolio or GitHub should carry the full weight of your narrative.

What programming languages and technical skills does OpenAI look for most?

Python is the dominant language across OpenAI's engineering and research roles, given its centrality to ML/AI workflows. For infrastructure and systems roles, proficiency in languages like C++, Rust, or Go is valuable, particularly for performance-critical systems. Mobile engineering roles (Android and iOS ChatGPT infrastructure) require deep expertise in Kotlin/Java or Swift respectively, along with mobile-specific optimization skills. Across all technical roles, familiarity with frameworks like PyTorch, experience with large-scale distributed systems, knowledge of cloud infrastructure (particularly Azure given OpenAI's Microsoft partnership), and understanding of LLM architectures and inference optimization are highly valued.

Does OpenAI offer remote work, or do I need to relocate?

OpenAI's approach to remote work varies by role and team. Many positions are listed with specific location requirements — San Francisco, New York City, or Singapore — and typically require onsite presence. OpenAI has historically leaned toward in-office work, particularly for engineering and research roles where close collaboration is central to their development velocity. However, some roles, particularly in deployment, partnerships, and certain engineering functions, may offer hybrid flexibility. Check the specific job posting for location requirements, and be prepared to discuss relocation willingness during the recruiter screen if the role lists a specific office.

How can I make my application stand out among thousands of applicants?

Three strategies meaningfully differentiate OpenAI applications. First, employee referrals significantly increase your odds of getting a recruiter screen — invest time building genuine connections with OpenAI employees through LinkedIn, AI meetups, or open-source communities before applying. Second, a strong public portfolio of relevant work (GitHub projects using OpenAI's API, published ML research, technical blog posts, or contributions to open-source AI tools) provides tangible evidence of your capabilities beyond resume claims. Third, hyper-specific role tailoring matters — your resume and any application responses should make it unmistakably clear why you're the right person for this exact position on this exact team, referencing the specific technologies, problems, and domains mentioned in the job description.

What should I prepare for OpenAI's behavioral and values interview?

OpenAI's behavioral and values interview is substantively different from standard tech company behavioral rounds. Prepare to discuss your genuine perspective on AI safety, the societal implications of AGI development, and ethical dilemmas you might face in building powerful AI systems. Have specific examples ready of times you navigated technical disagreements, made decisions with incomplete information, or pushed back on a direction you believed was wrong. OpenAI values intellectual honesty and principled thinking — rehearsed STAR-method answers about 'a time you showed leadership' won't resonate the way a thoughtful, candid discussion about tradeoffs and values will. Research OpenAI's published work on alignment and safety to ground your responses in their actual research priorities.

Can I apply to multiple OpenAI roles at the same time?

Technically yes — Ashby tracks each application independently, and OpenAI's careers page doesn't prevent multiple submissions. However, applying to more than 2-3 roles simultaneously can signal to recruiters that you're spraying applications rather than thoughtfully targeting a specific team. If you're genuinely qualified for multiple roles, prioritize the 1-2 that best match your strongest skills and tailor each application accordingly. If you're torn between roles, you can mention your interest in adjacent positions during the recruiter screen — recruiters at OpenAI commonly redirect strong candidates to better-fitting roles within the organization.

What is OpenAI's equity compensation structure, and how does it work?

OpenAI's compensation structure is unique due to its capped-profit corporate model. Instead of traditional stock options or RSUs, OpenAI has historically offered Profit Participation Units (PPUs), which represent a share in the company's capped returns. The specifics of how these units vest, their valuation methodology, and their liquidity options are typically explained in detail during the offer stage. Given the complexity and novelty of this structure, it's common for candidates to have a dedicated compensation call with the recruiter or a finance team member. Asking informed questions about equity during negotiations is expected and well-received — it signals you understand the company's unusual structure.

Sample Open Positions

Check Your Resume Before Applying → View 672 open positions at OpenAI

Related Resources

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Sources

OpenAI Careers Page — OpenAI
OpenAI Company Overview and Interview Reviews — Glassdoor
Ashby ATS Platform Overview — Ashby
OpenAI Research and Blog — OpenAI
OpenAI About Page — Charter and Mission — OpenAI