Principal Data Scientist, Gen AI and Vision

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

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

Be an Early Applicant Remote or Hybrid Hiring Remotely in US 195K-210K Annually Expert/Leader Remote or Hybrid Hiring Remotely in US 195K-210K Annually Expert/Leader Lead strategy and execution for generative and multimodal vision systems, from research to production. Design model architectures, adaptation, evaluation, and deployment pipelines; improve realism, controllability, robustness, and temporal consistency; benchmark and guide model selection; mentor scientists and coordinate cross-functional engineering to ship production-ready AI capabilities., The expected base salary range for this position is $195,000 to $210,000 per year. Actual compensation will be based on factors such as skills and experience. This position is also eligible for an annual performance bonus, which is subject to company and individual performance. Life at HERE comes with generous benefits to support your health and overall wellness. Benefits available to US-based HERE employees include health (Medical/Dental/Vision) insurance, retirement savings plans, paid time off & leave policies . As part of HERE Technologies employment process, candidates will be required to successfully complete a background verification process. Offers of employment and any related claims are subject to the successful completion of a background verification. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, HERE will consider for employment qualified applicants with arrest and conviction records. HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics., 200K-210K Annually Senior level 200K-210K Annually Senior level Artificial Intelligence * Automotive * Computer Vision * Information Technology * Internet of Things * Logistics * Software Define and drive a visual-first map platform, architecting end-to-end visual-to-map pipelines (imagery3Dsemantic maps). Lead scalable 3D geospatial data processing and AI-based map creation using computer vision, world models, and USD. Standardize scene representations, build export pipelines, align platform with ADAS/digital twin needs, and provide technical leadership and mentoring across teams. Top Skills: 3D ModelingCloud PlatformsCnnsComputer VisionDeep LearningDistributed SystemsPyTorchStructure-From-Motion (Sfm)TensorFlowUniversal Scene Description (Usd)

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes - from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.