Research Engineer - II

Job Summary

Develops AI-powered construction takeoff, estimating, bid management, and BIM software that automates preconstruction workflows for contractors and field service businesses.

Responsibilities

• Contribute to research and development initiatives focused on Computer Vision, Image Processing, and Deep Learning applied to construction-related data
• Build and optimize models for extracting insights from blueprints, scanned PDFs, and SVG files
• Contribute development of multi-modal models that integrate vision with language-based features (NLP/LLMs)
• Support the end-to-end lifecycle of AI-based solutions from prototyping and experimentation to deployment in production
• Follow best data science and machine learning practices, including data-centric development, experiment tracking, model validation, and reproducibility
• Collaborate with software engineers, ML researchers, and product teams to convert research ideas into real-world applications
• Write clean, scalable, and production-ready code using Python and frameworks like PyTorch, TensorFlow, or HuggingFace
• Stay updated with the latest research in computer vision and machine learning and evaluate applicability to industry challenges
• Looking for a Research Engineer-II to work on cutting-edge AI solutions focused on Computer Vision, Deep Learning, NLP, and multimodal models.
• The role involves building AI systems for automated construction take-off and estimation by working with unstructured data such as blueprints, drawings (including SVGs), and PDF documents.
• The engineer will contribute across the AI lifecycle, from research and experimentation to production deployment.

Skills

• Python
• PyTorch
• TensorFlow
• HuggingFace
• Computer Vision
• Deep Learning
• NLP
• multimodal models

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