About the job
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.
Responsibilities
- 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
Qualifications
Minimum
3+ years of research experience (industry or similar academic experience) and proficiency in Python or similar languages
Preferred
- 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.
- 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