A Research Scientist specializing in computational cognitive science, focusing on developing advanced models of human cognition, behavior, and preferences using large language models and multimodal learning systems to enhance decision-making and product development processes.
Key Responsibilities
Lead development of computational models of human cognition, behavior, and preferences using large language models and multimodal learning systems.
Train and fine-tune large language models to emulate human decision-making patterns and predict individual preferences across various contexts.
Incorporate physiological and brain imaging data into computational models of human cognition and behavior.
Requirements
Experience in developing next-generation computational models of human cognition, behavior, and preferences.
Proficiency in leveraging large language models (LLMs) and multimodal learning systems for training and fine-tuning models.
Ability to emulate human decision-making patterns and predict individual preferences across different contexts such as consumer behavior and product design.
Experience in incorporating physiological and brain imaging data into computational models.
Strong understanding of behavior science, machine learning, and computational modeling as they relate to human cognition and preferences.
Demonstrated motivation and talent in leading research projects related to computational cognitive science.
Educational background in a relevant field such as cognitive science, psychology, computer science, machine learning, or related disciplines (implied, as the role involves advanced research and modeling).
Ability to work within a multidisciplinary team of behavioral scientists, ML researchers, and human-computer interaction experts.
Experience with training and fine-tuning large language models (LLMs).
Experience with multimodal learning systems that integrate different data types, including physiological and brain imaging data.
Understanding of human decision-making patterns and preferences in various contexts.
Ability to develop models that predict individual preferences and emulate human cognition.
Knowledge of data collection and analysis methods related to physiological and brain imaging data (implied, as projects explore these areas).
Benefits & Perks
Salary range between $176,000 and $264,000 per year
Generous benefits package including 401(k) eligibility
Paid time off benefits such as vacation, sick time, and parental leave
Annual cash bonus structure
Ready to Apply?
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