Post-training - Evaluation Scientist at OpenAI
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About the Team
Our team is dedicated to enhancing the quality and performance of ChatGPT by developing and refining the metrics that guide its evolution. We work closely with data scientists and researchers across the organization to create metrics that are not only technically sound but also aligned with user experience and product quality. Operating at the intersection of data science and AI research, we ensure that every iteration of ChatGPT is better, faster, and more useful to millions of users worldwide.
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About the Role
We are seeking an engineer to design, implement, and maintain the key metrics that drive improvements in ChatGPT’s performance and user experience, as well as the libraries and infrastructure that power these metrics. In this role, you will collaborate closely with data scientists to understand user behavior and devise impactful metrics based on these insights. You will also work alongside researchers to guide product development with these metrics, ensuring they accelerate research and align with our quality goals.
The ideal candidate has a solid foundation in software development and data science, with experience in metrics for complex applied AI products. Familiarity with large suites of metrics or human data pipelines is a plus. You should be adept at writing high-quality code, developing tools for model evaluation, and iteratively improving our metrics based on real-world feedback. Strong communication skills are essential to work effectively with both technical and non-technical stakeholders.
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:
Write maintainable, efficient, and well-tested code as part of our evaluation libraries.
Develop metrics that accurately reflect product quality and align with user satisfaction.
Work with many teams across the company to guide data-driven product development.
Work with our human data team to collect high quality and statistically significant evaluation datasets.
Sample projects include:
Prototyping new ways of evaluating our models on a new key domain.
Understanding the variance of a metric and building new datasets to reduce the variance.
Designing and executing experiments to validate that our metrics are accurately measuring perceived user quality.
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You might thrive in this role if you:
Are a collaborative team player – willing to do whatever it takes in a start-up environment
Have experience working in complex technical environments
Are passionate about bringing magical AI experiences to millions of users
Enjoy diving into the subtle details of datasets and evaluations
Are very proficient in PythonÂ
Have experience with dataset creation and human data collection at scale
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.Â
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.Â
OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement
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 this link.
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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.