Researcher, Trustworthy AI
OpenAI
Job Overview
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Job Description
About The Team
The Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency.
The Trustworthy AI team works on action relevant or decision relevant research to ensure we shape A(G)I keeping societal impacts in mind. This includes work on full stack policy problems such as building methods for public inputs into model values and understanding impacts of anthropomorphism of AI. We aim to translate nebulous policy problems to be technically tractable and measurable. We then use this work to inform and build interventions that increase societal readiness for increasingly intelligent systems. Our team also works on external assurances for AI with an aim for increasing independent checks and forming additional layers of validation.
About The Role
We are looking to hire exceptional research scientists/engineers that can push the rigor of work needed to increase societal readiness for AGI. Specifically, we are looking for those that will enable us to translate nebulous policy problems to be technically tractable and measurable.
This role is based in our San Francisco HQ. We offer relocation assistance to new employees.
In This Role, You Will Enable
- Set research and strategies to study societal impacts of our models in an action-relevant manner and figure out how to tie this back into model design
- Build creative methods and run experiments that enable public input into model values
- Increasing rigor of external assurances by turning external findings into robust evaluations
- Facilitating and growing our ability to effectively de-risk flagship model deployments in a timely manner
You Might Thrive In This Role If You
- Are excited about OpenAI’s mission of building safe, universally beneficial AGI and are aligned with OpenAI’s charter
- Demonstrate a passion for AI safety and making cutting-edge AI models safer for real-world use.
- Possess 3+ years of research experience (industry or similar academic experience) and proficiency in Python or similar languages
- Thrive in environments involving large-scale AI systems and multimodal datasets
- Enjoy working on large-scale, difficult, and nebulous problems in a well-resourced environment
- Exhibit proficiency in the field of AI safety, focusing on topics like RLHF, adversarial training, robustness, LLM evaluations
- Have past experience in interdisciplinary research
- Show enthusiasm for socio-technical topics
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.
Key skills/competency
- AI Safety
- AGI Research
- Societal Impact Analysis
- Policy Translation
- Machine Learning
- Python Programming
- LLM Evaluation
- Robustness Testing
- Adversarial Training
- Interdisciplinary Collaboration
How to Get Hired at OpenAI
- Research OpenAI's mission: Study their commitment to safe, universally beneficial AGI and company charter.
- Tailor your resume: Highlight extensive AI safety, research, Python, and interdisciplinary experience.
- Showcase relevant projects: Detail contributions to AI safety, robust evaluations, or policy translation initiatives.
- Prepare for technical deep dives: Expect rigorous questions on RLHF, adversarial training, and LLM evaluations.
- Demonstrate societal impact passion: Articulate how your work aligns with trustworthy AI principles.
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