Senior Research Scientist, Reward Models
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El puesto
Lead cutting-edge research on reward model architectures and RLHF training for large language models.
Develop rubric-based grading and evaluation methods to improve interpretability and consistency.
Study reward hacking, specification gaming, and robust alignment strategies.
Design large-scale experiments to assess generalization, robustness, and failure modes.
Collaborate with Finetuning and Alignment Science teams to translate insights into production improvements.
Mentor researchers, publish findings, and grow institutional knowledge around reward modeling.
Develop rubric-based grading and evaluation methods to improve interpretability and consistency.
Study reward hacking, specification gaming, and robust alignment strategies.
Design large-scale experiments to assess generalization, robustness, and failure modes.
Collaborate with Finetuning and Alignment Science teams to translate insights into production improvements.
Mentor researchers, publish findings, and grow institutional knowledge around reward modeling.
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