Principal Data Scientist, Gen AI and Vision

What's the role?:

HERE is building advanced visual AI systems at the intersection of generative modeling, scene understanding, structured control and production-grade computer vision. You will own the model strategy for a major technical pillar. That means deciding how models are adapted, evaluated, integrated and prepared for production, while solving difficult problems such as structural drift, temporal instability, inconsistent outputs and deployment fragility. This is not a research-only position. You will turn promising pre-trained models and ambiguous prototypes into reliable capabilities that can support real mapping, perception and simulation workflows.What will you do? =====================

• Set the technical direction for generative and multimodal vision systems, including model inputs, controls, outputs and downstream interfaces.
• Build and evolve end-to-end workflows for training, fine-tuning, benchmarking and deploying advanced vision models.
• Improve realism, controllability, temporal consistency, robustness and production readiness.
• Design ablation studies, model-selection frameworks and adaptation strategies when off-the-shelf models are not enough.
• Partner with evaluation, simulation and platform engineers to establish metrics, release gates and durable system interfaces.
• Shape model packaging, inference optimization and production performance tradeoffs.
• Mentor scientists and engineers while raising the bar for architecture, experimentation and technical decision-making.

Who are you?:

You combine deep modeling expertise with the judgment and engineering discipline required to ship complex AI systems.* Deep experience in generative video, world models, diffusion models, multimodal systems or adjacent advanced-vision domains. * Strong computer-vision foundations and experience with scene understanding, temporal data or structured-control generation. * Advanced Python and PyTorch skills with modern model-