Post-training - Model Fusion Research Engineer

Our team is responsible for the post-training phase of ChatGPT, transforming large pre-trained models into powerful, safe, and user-friendly chatbots. We're seeking an engineer to accelerate the deployment of improvements to our models. You'll collaborate with diverse teams handling various facets of the system, including core capabilities, multimodal integration, and tools. This role offers a unique opportunity to shape the future of ChatGPT, working across the technology stack.

Key responsibilities include:

• Leading the regular release process of ChatGPT and API models
• Diagnosing and resolving systems and ML issues in large ML codebases
• Ensuring a stable, smooth, and user-friendly model development process
• Collaborating with cross-functional teams to design new features and integrate enhancements

The ideal candidate has a robust technical background in data technologies, reliable software engineering, production ML model development, and cross-functional collaboration. A deep understanding of ML fundamentals and large-scale deep learning is essential. Excellent communication and project management skills are crucial.

This role is based in San Francisco, CA, with a hybrid work model of 3 days in the office per week. Relocation assistance is offered to new employees.

Join us in shaping the future of technology and ensuring that the benefits of AI are widely shared.