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Senior Applied AI Researcher

Spacial·Израиль·en
ГибридПолная занятостьAI & Machine LearningEnterprise SoftwareConstruction

Design, evaluate, and productionize generative AI systems that use language, vision-language, and agentic reasoning to interpret structured, relational, spatial, and technical information for construction and design workflows.

Обязанности

  • Design and build applied generative AI systems combining large language models, multimodal understanding, and agentic reasoning
  • Develop methods for reasoning over structured, relational, and spatial data from technical documents and drawings
  • Architect agentic systems covering orchestration, tool use, context engineering, and evaluation harnesses
  • Define metrics and own experimentation and evaluation for accuracy, robustness, and cost efficiency
  • Partner with engineering to move research prototypes into production-grade features
  • Contribute to applied AI research direction and track emerging techniques

Требования

  • PhD in computer science, artificial intelligence, machine learning, mathematics, physics, electrical engineering, or a similar quantitative field
  • At least 5 years of applied AI or machine learning experience focused on generative AI, large language models, and deep learning
  • Research impact demonstrated through top-tier publications, patents, or both
  • Experience building systems that reason over structured, relational, spatial, or geometric data
  • Record of shipping AI systems into production
  • Expert-level Python skills and strong experience with major deep-learning frameworks such as PyTorch
  • Experience with agentic system design, retrieval-augmented generation, context engineering, tool engineering, and rigorous evaluation
  • Comfort working with large, messy, real-world datasets

Будет плюсом

  • Experience with multimodal vision-language models
  • Experience converting documents, drawings, or technical specifications into structured data
  • Interest in construction, design, or the built environment
  • Experience operating and optimizing AI workloads in production

Условия и преимущества

  • Flexible hybrid work arrangement
  • Direct access to experienced founders
  • Opportunity to work on high-impact AI problems in construction and design

Соответствие

Больше возможностей

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