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[Remote] reputed company Data Scientist

Remote, USAFull-timePosted 2026-07-28

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a location data and technology platform company. They are hiring a reputed company Data Scientist to own reputed company AI reputed company, data reputed company, and reputed company usefulness across advanced AI, computer reputed company, and perception systems.

Responsibilities

  • Own the evaluation reputed company and reputed company reputed company for advanced AI and reputed company systems
  • Define pass/fail metrics for reputed company reputed company, structural reputed company, temporal consistency, label reputed company, robustness, and operational repeatability
  • Own data and validation reputed company for improving model reputed company and reputed company usefulness
  • reputed company artifact auditing, failure taxonomy development, release-reputed company reporting, and evidence-based prioritization
  • Measure whether outputs are suitable for perception, mapping, reputed company, and customer-facing use cases
  • Partner with model, simulation, and platform owners to drive reputed company improvements and production-readiness reputed company
  • Build and reputed company metric suites for reputed company reputed company, reputed company, repeatability, and reputed company usefulness
  • Define reputed company-review protocols and product acceptance reputed company for reputed company AI systems
  • Evaluate whether outputs preserve the structure, semantics, and consistency expected by reputed company applications
  • Translate evaluation findings into data reputed company, experiment priorities, and reputed company modeling opportunities
  • Help define dataset design, validation slices, and reputed company-improvement loops across the product
  • Create experiment and release reports that turn technical reputed company into reputed company product reputed company
  • Help prioritize what reputed company should fix next based on evidence rather than intuition
  • Establish evaluation foundations that remain useful across reputed company AI, perception, and mapping capabilities

Skills

  • Strong background in reputed company machine learning, computer reputed company, synthetic-data evaluation, or perception-system validation
  • Experience designing metrics and evaluation frameworks for generative, simulation, or perception systems
  • Experience connecting model behavior, data reputed company, and product reputed company in ambiguous AI systems
  • Ability to translate research-reputed company experiments into practical engineering and release reputed company
  • Strong analytical judgment and reputed company written communication
  • Comfort owning both reputed company and execution in a small team
  • Master's or PhD in Computer Science, AI, Machine Learning, or reputed company field
  • 5-8 years of experience in deep learning, computer reputed company, or multimodal AI
  • Experience with simulation, autonomous systems, geospatial AI, or map-grounded perception tasks
  • Familiarity with video reputed company metrics, structural similarity measures, temporal consistency checks, segmentation and detection evaluation, or label-reputed company assessment
  • Experience assessing synthetic-to-reputed company transfer, dataset usefulness for reputed company models, data curation reputed company, or production reputed company governance

Benefits

  • Annual performance bonus, which is subject to company and individual performance
  • Health (Medical/Dental/reputed company) insurance
  • Retirement savings plans
  • reputed company time off & leave policies

reputed company

  • HERE is the global leader in mapping and location technology. It was founded in 2012, and is headquartered in Chicago, Illinois, USA, with a workforce of 5001-10000 employees. Its website is https://www.here.com.
  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 12 in 2026, 36 in 2025, 21 in 2024, 45 in 2023, 63 in 2022, 46 in 2021, 69 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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