Lead Data Scientist

We are hiring a Lead Data Scientist to own applied AI quality, data strategy, and downstream usefulness across advanced AI, computer vision, and perception systems. This person will define how we determine whether a system is working, where it is failing, what quality bar is required for release, and how data, evaluation, and applied modeling should evolve to improve the product. This is a senior role for someone who can bring rigor to ambiguous technical programs, establish evaluation systems, and translate model behavior into product decisions, data strategy, and concrete improvement loops. What You Will Own

• Own the evaluation framework and quality strategy for advanced AI and vision systems
• Define pass/fail metrics for output quality, structural fidelity, temporal consistency, label quality, robustness, and operational repeatability
• Own data and validation strategy for improving model quality and downstream usefulness
• Lead artifact auditing, failure taxonomy development, release-quality reporting, and evidence-based prioritization
• Measure whether outputs are suitable for perception, mapping, generative AI, and customer-facing use cases

• Partner with model, simulation, and platform owners to drive quality improvements and production-readiness decisions What You Will Do

• Build and evolve metric suites for output quality, fidelity, repeatability, and downstream usefulness
• Define human-review protocols and product acceptance thresholds for complex AI systems
• Evaluate whether outputs preserve the structure, semantics, and consistency expected by downstream applications
• Translate evaluation findings into data strategy, experiment priorities, and applied modeling opportunities
• Help define dataset design, validation slices, and quality-improvement loops across the product
• Create experiment and release reports that turn technical output into clear product decisions
• Help prioritize what the team should fix next based on evidence rather than intuition
• Establish evaluation foundations that remain useful across future AI, perception, and mapping capabilities, 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

Strong background in applied machine learning, computer vision, synthetic-data evaluation, or perception-system validation

• Experience designing metrics and evaluation frameworks for generative, simulation, or perception systems
• Experience connecting model behavior, data quality, and product outcomes in ambiguous AI systems
• Ability to translate research-quality experiments into practical engineering and release decisions
• Strong analytical judgment and clear written communication

• Comfort owning both strategy and execution in a small team Education & Experience

• Master’s or PhD in Computer Science, AI, Machine Learning, or related field.

• 5-8 years of experience in deep learning, computer vision, or multimodal AI. Nice To Have

• Experience with simulation, autonomous systems, geospatial AI, or map-grounded perception tasks
• Familiarity with video quality metrics, structural similarity measures, temporal consistency checks, segmentation and detection evaluation, or label-quality assessment
• Experience assessing synthetic-to-real transfer, dataset usefulness for downstream models, data curation strategy, or production quality governance

Remote or Hybrid Hiring Remotely in US 160K-170K Annually Senior level Remote or Hybrid Hiring Remotely in US 160K-170K Annually Senior level 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., The expected base salary range for this position is $160,000 to $170,000 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., Remote or Hybrid US 195K-210K Annually Expert/Leader 195K-210K Annually Expert/Leader Artificial Intelligence * Automotive * Computer Vision * Information Technology * Internet of Things * Logistics * Software 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. Top Skills: Aws Gpu InfrastructureComputer VisionConditioning MechanismsDiffusion ModelsFine-TuningGenerative ModelsInference OptimizationMultimodal SystemsPyTorchSimulation-Grounded ModelsWorld Models HERE Technologies, 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)

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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.

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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.