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Job Analysis:
The role of Research Engineer/Research Scientist in the Model Behavior team at OpenAI is fundamentally about shaping the behavior of AI models in alignment with safety and human-centric values as the organization develops artificial general intelligence (AGI). The key responsibility here involves creating evaluations (evals) that not only assess the models but also guide their development to ensure alignment with intended goals. This requires a deep understanding of machine learning, particularly in the context of large codebases, as well as a sensitivity to classical AI alignment challenges. Candidates will likely face the challenge of translating complex theoretical concepts into practical evaluation techniques that can be scaled as the organization evolves its models. Success in this role will be characterized by the candidate's ability to develop innovative evaluation technologies that accurately reflect and steer the models' behaviors in a rapidly advancing AI landscape. Therefore, both research expertise and a strong product intuition are paramount to effectively navigate this influential role.
Company Analysis:
OpenAI, as an entity committed to the ethical advancement of artificial intelligence, occupies a leading position in the AI research and deployment space. With a mission centered on ensuring that the benefits of AI are shared broadly across humanity, the company embraces a culture that values diverse perspectives and inclusivity. This environment suggests a collaborative and innovative workplace, where ideas can flourish and cross-functional teamwork is essential. The Model Behavior team, being small and composed of experts from various disciplines, indicates a high degree of visibility and influence for the individual in this role. As such, this position is strategically crucial, contributing to OpenAI's overarching mission by directly shaping the behavior of its products, both now and in the future. The focus on safety and the human-centric alignment is not just a corporate value but an operational necessity that underscores the importance of this role in the context of global AI challenges.