FAQs
What is the primary focus of the Research Engineer - Post-training Infra role?
The primary focus of this role is to accelerate the deployment of improvements to the ChatGPT models in the post-training phase, enhancing the chatbot's safety, speed, intelligence, utility, and overall capabilities.
Is research experience required for this position?
No, research experience is not required; however, a deep understanding of machine learning fundamentals and large-scale deep learning is essential.
Where is this position based?
This position is based in San Francisco, CA.
What is the work model for this role?
We use a hybrid work model of 3 days in the office per week.
Will relocation assistance be provided?
Yes, relocation assistance is offered to new employees.
What technical skills are preferred for this role?
Preferred technical skills include experience with Python, debugging ML systems, reinforcement learning, transformers, Kubernetes, distributed infrastructure, GPUs, and large-scale data systems such as Beam or Spark.
What types of teams will I collaborate with in this role?
You will collaborate with both technical research teams and non-technical product teams across the company.
Can you provide examples of projects I might work on?
Sample projects include consulting with product teams for improvements to ChatGPT, integrating new multimodal features or tools, and working with data scientists to assess the impact of new models on users.
Are there opportunities for growth and development in this position?
Yes, this role offers a unique opportunity to shape the future of ChatGPT and work across the technology stack, providing significant opportunities for growth and development.
How does OpenAI approach diversity and inclusion in hiring?
OpenAI is an equal opportunity employer and is committed to ensuring that candidates are not discriminated against based on race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or any other legally protected status.