Research Engineer Scientist Robustness Safety Training
Research Engineer Scientist Robustness Safety Training
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USD 245000 - 440000
1 Vacancy
Job Description
About the Team
The Model Safety Research team aims to fundamentally advance our capabilities for precisely implementing robust safe behavior in AI models and to leverage these advances to make OpenAIs deployed models safe and beneficial. This requires a breadth of new ML research to address the growing set of safety challenges as AI becomes more powerful and used in more settings. Key focus areas include how to enforce nuanced safety policies without trading off helpfulness and capabilities how to make the model robust to adversaries how to address privacy and security risks and how to make the model trustworthy in safetycritical domains.
We seek to learn from deployment and distribute the benefits of AI while ensuring that this powerful tool is used responsibly and safely.
About the Role
OpenAI is seeking a senior researcher with passion for AI safety and experience in safety research. Your role will set directions for research to enable and empower safe AGI and work on research projects to make our AI systems safer more aligned and more robust to adversarial or malicious use cases. You will play a critical role in shaping how a safe AI system should look like in the future at OpenAI making a significant impact on our mission to build and deploy safe AGI.
In this role you will:
Conduct stateoftheart research on AI safety topics such as RLHF adversarial training robustness and more.
Implement new methods in OpenAIs core model training and launch safety improvements in OpenAIs products.
Set the research directions and strategies to make our AI systems safer more aligned and more robust.
Coordinate and collaborate with crossfunctional teams including T&S legal policy and other research teams to ensure that our products meet the highest safety standards.
Actively evaluate and understand the safety of our models and systems identifying areas of risk and proposing mitigation strategies.
You might thrive in this role if you:
Are excited about OpenAIs mission of building safe universally beneficial AGI and are aligned with OpenAIs charter
Demonstrate a passion for AI safety and making cuttingedge AI models safer for realworld use.
Bring 4 years of experience in the field of AI safety especially in areas like RLHF adversarial training robustness fairness & biases.
Hold a Ph.D. or other degree in computer science machine learning or a related field.
Possess experience in safety work for AI model deployment
Have an indepth understanding of deep learning research and/or strong engineering skills.
Are a team player who enjoys collaborative work environments.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that generalpurpose 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.
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 thislink.
OpenAI Global Applicant Privacy Policy
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.
Employment Type
Full-Time
