OpenAI

About the Company

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.

Listed Jobs

Company Name

OpenAI

Job Title

Machine Learning Engineer, Integrity

Job Description

Job title: Machine Learning Engineer, Integrity Role Summary: Design, deploy, optimize, and maintain advanced machine learning models that address adversarial threats, financial abuse, and misuse on large-scale AI platforms. Collaborate with researchers, engineers, and product managers to transform research breakthroughs into production-ready solutions that enhance platform security and integrity. Expectations: * Master’s or PhD in Computer Science, Machine Learning, Data Science, or related field. * Proven experience with deep learning and transformer models. * Proficiency in PyTorch or TensorFlow. * Strong foundation in data structures, algorithms, and software engineering practices. * Experience with LLM fine‑tuning, distillation, supervised fine‑tuning, policy optimization, or related methods. * Ability to work collaboratively across teams, own problems end‑to‑end, and adapt quickly in a dynamic environment. * Excellent analytical and problem‑solving skills; proactive attitude toward challenges. Key Responsibilities: 1. Innovate and deploy machine learning solutions that mitigate real‑world threats and misuse. 2. Translate research concepts into production pipelines, ensuring scalability, performance, and reliability. 3. Optimize models for accuracy and efficiency, implement robust data pipelines and monitoring systems. 4. Collaborate with cross‑functional teams to understand business challenges and deliver AI‑powered solutions. 5. Participate in code reviews, knowledge sharing, and uphold high‑quality engineering standards. 6. Monitor deployed models, analyze outcomes, and drive continuous improvement of AI systems. Required Skills: * Deep learning expertise, especially transformer architectures. * Hands‑on experience with PyTorch or TensorFlow frameworks. * Strong coding skills in Python; familiarity with GPU/TPU deployments. * Solid knowledge of data structures, algorithms, and software architecture. * Understanding of LLM fine‑tuning, distillation, supervised learning, and policy optimization. * Experience with large‑scale data pipelines and model serving infrastructure. * Ability to troubleshoot production deployments and optimize for speed and accuracy. Required Education & Certifications: * Master’s degree (or higher) in Computer Science, Machine Learning, Data Science, or a related technical discipline. (No specific certifications required.)

San francisco, United states

On site

21-12-2025

Company Name

OpenAI

Job Title

Security Engineer, Detection and Response

Job Description

Job Title: Security Engineer, Detection and Response Role Summary: Contribute to building and securing AI technologies by driving projects across security verticals, including Detection & Response, AppSec, InfraSec, and OffSec. Collaborate with AI researchers to enhance OpenAI’s security posture using innovative solutions. Expactations: Drive projects in major security verticals (e.g., AppSec, InfraSec, OffSec). Innovate to solve new security challenges. Assist in improving identity access, device management, and cloud infrastructure. Key Responsibilities: Design and lifecycle management of detection rules. Automate manual response processes. Ensure visibility and control of endpoints (macOS, Windows). Improve identity access management (IAM), device management, and public cloud usage (AWS, Azure). Required Skills: Experience in security or adjacent fields. Proficiency with Microsoft Azure and cloud infrastructure platforms. Knowledge of adversary tactics, techniques, and procedures (TTPs). Scripting skills (Python, Bash, PowerShell). Project management and collaborative problem-solving abilities. Required Education & Certifications: None specified.

London, United kingdom

On site

22-12-2025

Company Name

OpenAI

Job Title

IT Solutions Engineer

Job Description

**Job Title:** IT Solutions Engineer **Role Summary:** Design, develop, and operationalize scalable, ITIL‑aligned workflows and integrations that automate core IT processes across ITSM, IAM, SaaS, and enterprise orchestration platforms. Partner with IT Support and Security to reduce manual toil, improve system reliability, and enable secure, predictable operations. **Expectations:** - Translate ambiguous requirements into structured, repeatable workflows. - Deliver end‑to‑end solutions from architecture through rollout and documentation. - Provide on‑call support, handle technical escalations, and create training/playbooks for support teams. - Maintain system health, monitoring, and logging for all administered platforms. **Key Responsibilities:** - Design and implement integrations across identity, SaaS, ITSM, and internal applications using APIs, Terraform, scripting, and low‑code tools. - Build automated request flows in Slack, ChatGPT, Atlassian tools (Jira, Confluence), Linear, Incident.io, Retool, etc. - Maintain and continuously improve Incident, Request, Change, and Problem management workflows in modern ITSM tools. - Lead identity, access, and ITSM migration projects, especially during acquisitions. - Administer lifecycle and collaboration platforms (Slack Grid, Google Workspace, Atlassian suite, GitHub). - Produce runbooks, documentation, and repeatable workflow templates for cross‑team use. **Required Skills:** - Strong experience with workflow automation, orchestration, and ITIL processes. - Proficiency in APIs, Terraform, scripting languages (Python, PowerShell, Bash), and low‑code platforms. - Hands‑on knowledge of IAM/identity platforms, SaaS integrations, and ITSM tools (e.g., ServiceNow, Jira Service Management). - Familiarity with collaboration tools (Slack, Google Workspace, Atlassian) and CI/CD pipelines. - Excellent problem‑solving, stakeholder communication, and documentation skills. - Ability to operate in on‑call rotation and handle escalations. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field (or equivalent practical experience). - ITIL Foundation certification (preferred). - Relevant certifications in cloud platforms, security, or automation (e.g., AWS Certified Solutions Architect, Certified Terraform Associate) are a plus.

San francisco, United states

On site

31-12-2025

Company Name

OpenAI

Job Title

Applied Data Science & Machine Learning Leader - Global Forecasting

Job Description

**Job Title:** Applied Data Science & Machine Learning Leader – Global Forecasting **Role Summary:** Technical leader responsible for building and managing a high‑performing team of applied data scientists and ML engineers to create, scale, and maintain production‑grade forecasting platforms that drive strategic financial and growth decisions across the organization. **Expectations:** - Lead a small, cross‑functional team from concept (0) to production (1) of forecasting solutions. - Deliver accurate, interpretable, and automated forecasts for core business metrics (e.g., DAU/WAU, revenue, compute usage, profitability). - Integrate forecasting outputs into Strategic Finance planning cycles and executive decision‑making. - Champion best practices in model monitoring, debugging, and long‑term maintenance. - Communicate complex technical results clearly to senior stakeholders and influence strategy. **Key Responsibilities:** - Recruit, develop, and retain world‑class applied data scientists and ML engineers. - Define and execute the product roadmap for the forecasting platform in partnership with Finance, Growth, and Engineering partners. - Own end‑to‑end modeling lifecycle: problem scoping, feature engineering, model design, experimentation, deployment, monitoring, and explainability. - Research, evaluate, and adopt emerging forecasting methodologies and tools. - Translate model outputs into actionable business recommendations and decision frameworks. - Ensure forecasts are embedded into regular planning processes and operational rhythms. **Required Skills:** - 10+ years of applied data science/engineering experience with deep expertise in time‑series forecasting and predictive modeling. - Proven track record delivering production‑ready, adjustable, and explainable forecast models across multiple planning cycles. - Strong proficiency in Python (or R), SQL, and ML libraries/frameworks (e.g., TensorFlow, PyTorch, Prophet, ARIMA, XGBoost). - Experience building, monitoring, and maintaining large‑scale ML pipelines in cloud environments (AWS, GCP, Azure). - Excellent communication, storytelling, and stakeholder‑management abilities. - Demonstrated team‑leadership and talent‑development skills. - Ability to operate in fast‑moving, ambiguous environments and drive projects from ideation to launch. **Required Education & Certifications:** - Advanced degree (MS or PhD) in a quantitative discipline such as Statistics, Computer Science, Economics, Operations Research, or related field. - Relevant certifications (e.g., AWS Certified Machine Learning, Google Cloud Professional Data Engineer) are a plus but not mandatory.

San francisco, United states

On site

Senior

31-12-2025