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

Research Engineer / Scientist, Personality and Model Behavior

Job Description

San francisco, United states

On site

07-09-2025

Company Name

OpenAI

Job Title

Research Engineer / Research Scientist - ChatGPT Agent

Job Description

Job Title: Research Engineer / Research Scientist – ChatGPT Agent Role Summary: Advance agent research by conducting fundamental research, training large‑scale models, and deploying them as production agents that reason and act in real‑world contexts. Expectations: Own a research agenda, identify model weaknesses, deliver measurable improvements, and translate prototypes into production‑grade products. Key Responsibilities: - Design and execute research experiments to improve agent reasoning and action capabilities. - Develop and maintain evaluation frameworks to track modeling gains. - Build, test, debug, and optimize code across the research stack. - Run large‑scale training jobs and oversee model deployment pipelines. - Collaborate cross‑functionally to transition research prototypes into user‑facing products. Required Skills: - Strong background in machine learning research, particularly in reinforcement learning and large‑language models. - Proficiency in Python and deep‑learning frameworks (PyTorch, TensorFlow). - Experience with distributed training and GPU/TPU infrastructure. - Ability to design rigorous evaluation metrics and automated testing pipelines. - Excellent problem‑solving, debugging, and communication skills. Required Education & Certifications: - Ph.D. or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or related field. - Publication record in top AI conferences (NeurIPS, ICML, ICLR, AAAI, etc.) is preferred.

San francisco, United states

On site

07-09-2025

Company Name

OpenAI

Job Title

Research Engineer / Research Scientist - Agent Robustness and Control

Job Description

**Job Title:** Research Engineer / Research Scientist - Agent Robustness and Control **Role Summary:** Apply advanced technical expertise to enhance agent safety, security, and robustness through research, product integration, and systems engineering. Focus on bridging safety considerations from foundational research to production deployment. **Expectations:** Integrate safety and security into all layers of agent development; collaborate across research, product, and engineering teams; design and implement tools to improve model reliability and mitigate risks. **Key Responsibilities:** - Train and evaluate agent models with robustness and monitoring systems. - Develop and deploy innovative solutions to address safety/security risks in iterative environments. - Implement, test, and debug code across research and production systems. - Build reusable tools to enhance safety and robustness of models across platforms. - Analyze systemic risks in models/systems and implement risk-mitigation strategies. **Required Skills:** - Proficiency in Python or comparable programming languages. - Experience in training/optimizing large language models (distillation, supervised fine-tuning, policy optimization). - Ability to debug complex ML/product codebases and resolve high-stakes technical challenges. - Strong problem-solving mindset with creativity in experimental design. **Required Education & Certifications:** None specified.

San francisco, United states

On site

07-09-2025

Company Name

OpenAI

Job Title

Machine Learning Data Scientist, Forecasting

Job Description

Job title: Machine Learning Data Scientist, Forecasting Role Summary: Lead the development, scaling, and production of forecasting systems for strategic finance. Own end‑to‑end model lifecycle—from data scoping and feature engineering to deployment, monitoring, and explainability—to forecast key business metrics such as user growth, revenue, LTV, compute usage, and profitability. Expactations: - Deliver high‑accuracy, interpretable, production‑ready forecasts for product, finance, infrastructure, and GTM domains. - Translate model outputs into actionable business recommendations for executive stakeholders. - Drive cross‑functional collaboration to embed forecasts into planning, experimentation, and decision‑making workflows. Key Responsibilities: - Build and optimize statistical & machine learning forecasting models. - Own end‑to‑end modeling lifecycle: scoping, feature engineering, prototyping, experimentation, deployment, monitoring, explainability. - Develop scalable, real‑time forecasting platforms and self‑service tools for internal teams. - Research and evaluate emerging forecasting techniques (e.g., TimeGPT, large‑language‑model extensions, causal & hybrid methods). - Monitor model performance, debug issues, and maintain long‑term health in production. - Communicate findings clearly to non‑technical audiences and influence strategy. Required Skills: - Advanced statistical and machine learning expertise in time‑series forecasting. - Strong programming skills in Python; proficiency with SQL, scikit‑learn, PyTorch/TensorFlow, and forecasting libraries. - Experience with model monitoring, debugging, and production maintenance. - Excellent storytelling and stakeholder‑management abilities. - Ability to lead ambiguous projects from conception to operationalization. Required Education & Certifications: - Advanced degree (MS or PhD) in a quantitative field (Statistics, Computer Science, Economics, Operations Research, or related). - Minimum 7 years of applied data science experience, with deep hands‑on forecasting exposure. ---

San francisco, United states

Hybrid

Senior

20-09-2025