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Fieldwire by Hilti
Fieldwire by Hilti
51 – 200 Employees
ConstructionLogisticsManufacturing
Fieldwire by Hilti develops construction jobsite management software for general and specialty contractors, owners, architects, designers, foremen, and project managers. Its platform brings field coordination into one place, with tools for assigning tasks, managing schedules, sharing drawings and documents, recording completed work, and providing real-time project updates. Integrations and access across devices help teams keep information current from the jobsite to the project office. As part of Hilti Construction Software, Fieldwire supports projects ranging from smaller builds to large-scale construction programs and is used across the construction industry for reporting, document management, and day-to-day project coordination.
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Mid-Level AI and Machine Learning Engineer

Build computer vision and document intelligence features for Fieldwire’s construction management platform. Deploy machine learning models that serve millions of users.

USUnited StatesCACalifornia
$170,000 – $195,000 / year
HybridFull-timeMiddleSeniorEnglish RequiredMachine Learning Engineer
AngularRubyRuby on RailsRust

Description

  • Build and maintain full-stack AI foundations, integrating them into core platform capabilities.
  • Assess open-source models and adapt them to domain-specific needs through fine-tuning, transfer learning, and lightweight training.
  • Deploy and run models in Fieldwire’s infrastructure, including GPU-backed environments.
  • Improve inference speed, resource use, throughput, and latency.
  • Create image-understanding solutions for object detection, classification, and segmentation.
  • Extract and interpret information from PDFs, scans, images, and other complex visual content using OCR, document layout analysis, and multimodal models.
  • Use AI and computer vision to bring relevant, context-aware information into user workflows.
  • Troubleshoot production issues across services and stack layers.
  • Strengthen engineering standards, tools, and processes.

Requirements

  • Bachelor’s or master’s degree in computer science, or equivalent professional experience.
  • At least three years of experience in full-stack, backend, AI engineering, or machine learning roles.
  • Practical machine learning experience training, evaluating, and deploying models.
  • Hands-on experience with computer vision and image processing.
  • Familiarity with modern tools for building high-quality applications.
  • Strong ability to write clean, well-tested, modular code.
  • Experience adapting pretrained models to domain-specific tasks using fine-tuning and transfer learning.
  • Understanding of modern model architectures, including transformers and vision-language models.
  • Experience processing images and documents, including OCR, document layout analysis, or extracting structured information from PDFs and images.
  • Experience building production systems, preferably with Rust, Ruby on Rails, or Angular.

Benefits

  • Eligible for a corporate bonus of up to 30%.
  • Equal employment opportunity regardless of protected characteristics.

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