> Markdown version of [/jobs/ext/1733888-principal-data-scientist-gen-ai-and-vision](https://www.wearedevelopers.com/jobs/ext/1733888-principal-data-scientist-gen-ai-and-vision). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Data Scientist, Gen AI and Vision - **Company:** HERE - **Location:** Chicago, IL, United States (Remote available) - **Experience:** Expert - **Salary:** $195,000.0 - $210,000.0 - **Contract:** Permanent contract - **Skills:** Geographic Information Systems, Artificial Intelligence, Amazon Web Services, Computer Vision, Systems Theories, Machine Learning, Visual Systems, Pytorch, Deep Learning, Data Strategy, Information Technology, Hardware Infrastructure - **Published:** July 3, 2026 - **Apply:** https://careers-here.icims.com/jobs/81680/principal-data-scientist,-gen-ai-and-vision/job?ss=1&mode=job&iis=BuiltInNationwide&iisn=BuiltInNationwide ## About the Role Deep experience in generative modeling for video, world models, diffusion models, multimodal systems, or adjacent advanced vision domains - Evidence of principal-level scope through technical leadership, research impact, architectural ownership, or shipped systems - Strong background in PyTorch and modern model training, fine-tuning, evaluation, and inference workflows - Experience adapting large pre-trained models to domain-specific use cases and hard production constraints - Good judgment on model quality, controllability, reliability, and deployment tradeoffs - Ability to work across research and engineering boundaries in a small, hands-on team Education & Experience - Master's or PhD in Computer Science, AI, Machine Learning, or related field. - 10+ years of experience in deep learning, computer vision, or multimodal AI. Nice To Have - Experience with synthetic data, robotics, perception systems, geospatial AI, autonomous systems, or advanced mapping products - Familiarity with conditioning mechanisms, structured control inputs, simulation-grounded models, or controllable generation - Experience running large-model inference, optimization, or fine-tuning on AWS GPU infrastructure - Experience taking research models into production environments ## Description 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 with the evaluation lead to establish quality metrics, release gates, and production-readiness criteria - Help shape the roadmap from initial prototypes to scalable AI capabilities across perception, generation, and related vision tasks - Contribute to deployment decisions around model packaging, inference optimization, and production performance tradeoffs - Mentor other scientists and act as the senior technical owner for the model domain Who are you? What We Are Looking For, Artificial Intelligence * Automotive * Computer Vision * Information Technology * Internet of Things * Logistics * Software Lead development of map-grounded world foundation models and generative scenario synthesis for AVs. Own end-to-end ML lifecycle, bridge generative models with classical simulators, define synthetic data quality and validation frameworks, run POCs with partners, and enable sim-to-real strategies to improve perception and planning. Top Skills: AlpasimAsam OpenxCarlaCosmos-TransferDiffusion ModelsIso 26262Iso 34502Latent Video ModelsLidarNvidia CosmosNvidia Drive SimOpendriveOpenscenarioPythonPyTorchPytorch LightningSotifTransformer-Based World ModelsUnityUnreal HERE Technologies Lead Data Scientist Yesterday Remote or Hybrid US 160K-170K Annually Senior level 160K-170K Annually Senior level Artificial Intelligence * Automotive * Computer Vision * Information Technology * Internet of Things * Logistics * Software Lead the evaluation and data-quality strategy for advanced AI, vision, and perception systems. Define metrics, failure taxonomies, and human-review protocols; translate evaluation findings into data strategy, experiment priorities, and product release decisions. Partner with model, simulation, and platform teams to drive production-readiness and continuous quality improvements. Top Skills: Computer VisionDataset DesignDeep LearningGenerative AiGeospatial AiModel EvaluationMultimodal AiObject DetectionPerception SystemsSegmentationSimulationSynthetic Data EvaluationTemporal ConsistencyVideo Quality Metrics HERE Technologies ## Related Videos - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Hacking Your Vacation: Using Data for Fun](https://www.wearedevelopers.com/videos/585-hacking-your-vacation-using-data-for-fun) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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