About the Team
The Cooperative AI team is scaling OpenAI with OpenAI. We are building an AI powered knowledge system that evolves and learns as our products, systems and customers evolve. We leverage our state of the art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team, who enjoy a lightning fast feedback loop with customers at scale, some of whom sit just a few pods away. We iterate fast, and engineer for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple primitives, to apply world class knowledge to many domains.
The work of this team exemplifies use of OpenAI technologies. We build systems so everyone can see the leverage that is possible with well designed AI-based implementations. We do this by working through internal use cases focused on Customers (specifically knowledge systems, automation systems, and automated agent systems) to prove impact, then we scale.
About the Role
We’re looking for Software Engineers across the stack who are passionate about blending production-ready platform architecture with new tech and new paradigms. You’ll push the boundaries of OpenAI’s newest technologies to enable interactions and automations that are not only functional, but delightful. We value proactive, customer-centric engineers who can get the foundational details right (data models, architecture, security) in service of enabling great products.
IIn this role, you will:
- Own the development of new products, platform capabilities, and integrations from initial concept through launch and ongoing improvement.
- Apply OpenAI’s latest models to knowledge systems, automation workflows, and AI agents.
- Build reliable, maintainable software that can scale as our products, customers, and operational needs evolve.
- Partner closely with engineers, data scientists, information systems architects, operations teams, and internal customers to understand problems and deliver effective solutions.
- Work with product and research teams to share feedback, evaluate real-world performance, and improve how we apply new models.
- Identify common patterns across use cases and turn them into reusable capabilities that support multiple teams and domains.
YOU MIGHT THRIVE IN THIS ROLE IF YOU HAVE:
- 4+ years of professional software engineering experience, excluding internships, at technology or product-driven companies.
- Strong programming and software design fundamentals, with depth in areas such as backend, full-stack, product, or platform engineering.
- Experience taking software from idea to production and making thoughtful tradeoffs across quality, speed, reliability, and security.
- A customer-focused approach and the ability to turn loosely defined problems into practical solutions.
- Comfort collaborating across disciplines, navigating ambiguity, and iterating quickly while building toward a long-term vision.
- Curiosity about AI/ML and excitement about applying new models to real-world problems; direct AI/ML experience is 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.
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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.
