Job Description
📋 Description Develop synthetic data pipeline for design agent conversations Combine persona-conditioned sales with clustering pipelines Measure realism, distributional fit, validation quality Collaborate with eval/labelling, research, and product teams Contribute findings to the research community via publications Engage in active, largely unsolved AI research areas 🎯 Requirements PhD in progress (3rd year or later) Experience with human-AI interaction or user-modeling Ability to design, run, and interpret ML experiments Develop research code for data processing and evaluation Clear written and presentation communication Strong collaboration across researchers and engineers 🎁 Benefits Hybrid work arrangement (on-campus and remote options) Global HQ in Sydney with SF campus presence Competitive compensation aligned to market data Interviews conducted virtually
