Principal Data Scientist, Gen AI and Vision

What's the role? We are hiring a Principal Data Scientist to lead advanced generative AI and computer vision work across simulation-grounded visual systems, structured-control generation, and production-oriented AI products. This person will help define and build model capabilities that sit at the intersection of generative modeling, scene understanding, controllability, and applied computer vision. This is a senior technical role for someone who can move from early research ambiguity to production-quality model systems while maintaining a high bar for technical depth, rigor, and practical value. This role is intended for someone who can own a major technical pillar, set direction for that domain, and raise the standard for how advanced AI systems are built and shipped. What You Will Own- Own the model strategy and technical direction for advanced generative and multimodal vision systems- Set the research and engineering agenda for model adaptation, evaluation, and production readiness within this domain- Define how model inputs, controls, outputs, and interfaces are represented and integrated into downstream systems- Improve realism, controllability, temporal consistency, robustness, and deployment readiness over time- Work closely with evaluation, simulation, and platform engineers to define durable interfaces between research systems and production workflows- Drive model benchmarking, ablation studies, model-selection decisions, and the path from pre-trained baselines to production-ready capability- Raise the bar for technical quality, architecture, and execution within the model stack What You Will Do - Build and evolve end-to-end model workflows for complex vision and generative AI systems- Identify and reduce failure modes such as structural drift, temporal instability, inconsistent outputs, and production fragility- Define the fine-tuning, adaptation, or hybrid-model strategy when pre-trained models do not meet product requirements out of the box- Partner wit