Research Engineer, Post-Training Evals

OpenAI; San Francisco (CA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

An innovative AI research firm is seeking a Research Engineer/Scientist to enhance model capabilities through rigorous evaluation and experimentation. This role involves designing studies to correlate evaluation metrics with user satisfaction and developing new methodologies for measuring model attributes. Collaborating with cross-functional teams, you will bridge the gap between metrics and insights, ensuring our models are safe, efficient, and reliable. If you're passionate about exploring cutting-edge AI technologies and thrive in a dynamic environment, this opportunity is perfect for you.

Benefits

Relocation assistance

Hybrid work model

Flexible working hours

Health insurance

Professional development opportunities

Qualifications

• Deep understanding of RL or LLMs is essential.
• Experience in developing evaluation methodologies for AI models.
• Ability to thrive in a dynamic and technically complex environment.

Responsibilities

• Investigate the relationship between evaluation metrics and model behavior.
• Develop novel evaluation methodologies for complex model attributes.
• Collaborate with data scientists and researchers for model evaluations.

Skills

Reinforcement Learning (RL)

Large Language Models (LLMs)

Experimental Methodologies

Data Analysis

Model Evaluation

Education

PhD in Computer Science or related field

Master's in Data Science or related field

Job description

The Post-Training team is responsible for training and improving pre-trained models to be deployed into ChatGPT, the API, and future products. The team partners closely with research and product teams across the company, and conducts research as a final step to prepare for real world deployment to millions of users, ensuring that our models are safe, efficient, and reliable.

About the Role

We are seeking a Research Engineer/Scientist to help us deeply understand and improve the capabilities of our models through rigorous evaluation, analysis, and experimentation. In this role, you will lead efforts to correlate evaluation metrics with model behavior, user experience, and real-world performance. Your work will directly inform model development, guide research priorities, and ensure that our evaluation methodologies accurately capture the nuanced capabilities.

You will collaborate closely with researchers, data scientists, and engineers to develop robust experimental methodologies, create high-quality evaluation datasets, and design new metrics that capture nuanced aspects of model quality. Your work will bridge the gap between raw metrics and meaningful insights, helping us understand the broader capabilities and limitations of our models.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Investigate the relationship between evaluation metrics and model behavior:
Design and execute studies to understand how various metrics correlate with user satisfaction, task success, and broader model capabilities.

Develop novel evaluation methodologies:
Create experimental frameworks and evaluation methods to measure complex model attributes, including alignment, robustness, and generalization.

Collaborate cross-functionally:
Work with data scientists to analyze user interactions, partner with research teams to implement evaluations and inform model development.

You might thrive in this role if you:

Have a deep understanding of RL or LLMs

Have a working knowledge of relevant models, and building evaluations for model capability improvement.

Thrive in a dynamic and technically complex environment.

Are excited to explore the capabilities and limitations of cutting-edge AI models.

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.

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.

For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via thislink .

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.