Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль дает возможность вести алгоритмические и AI-задачи до продакшена в необычной сфере геопространственных данных и инфраструктуры, но смена приоритетов и работа в офисе в Тель-Авиве снижают предсказуемость условий.
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Меняющиеся приоритетыШирокий круг задачСовременные технологииAI для инфраструктурыЗадачи до продакшена
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Algorithm Developer (AI): Building geospatial intelligence systems that collect, evaluate, extract, and coordinate-anchor information from inconsistent documents, drawings, and other sources with an accent on computer vision, document analysis, geometry, and AI model selection. Focus on defining ambiguous problems, designing reliability evaluations, processing unreliable data at scale, and turning extracted information into production systems used with mapping and surveying workflows.
Location: Tel Aviv, Israel
Company
hirify.global develops data processing and detection capabilities that combine sensor data, engineering information, geospatial intelligence, algorithms, and AI for infrastructure-related applications.
What you will do
Own algorithmic problems end to end, from ambiguous problem definition and prototyping to reliable production systems.
Build systems that gather and process diverse, inconsistent information sources at scale.
Develop methods to distinguish relevant information from noise and measure source reliability.
Anchor information extracted from engineering documents and drawings to real-world coordinate systems.
Extract structured data from complex documents using classical computer vision, document analysis, and LLM-based approaches.
Design evaluation methodologies and collaborate with mapping experts, surveyors, and algorithm researchers to build practical tools.
Requirements
4+ years of hands-on experience building algorithmic, machine learning, or AI systems that shipped and were used in production.
B.Sc. in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a similar field.
Strong algorithmic background with real depth in at least one of computer vision, data science, NLP, deep learning, document analysis, or geometry and 3D data.
Comfort working in a dynamic, loosely defined environment, including breaking vague problems into tractable parts, identifying missing information, consulting domain experts, examining data, and running experiments.
Strong proficiency in Python and solid software engineering practices, including clean, maintainable code, robust systems, and data pipelines that handle unreliable inputs.
Genuine interest in LLMs and modern AI, with a practical understanding of how they work and where they fail. Production experience is not required; a side project, prototype, or serious personal exploration is sufficient.
Nice to have
Experience combining text and imagery in document analysis, drawings, or diagrams, including OCR, layout analysis, and vision-language models.
Experience with geospatial data, GIS, CAD, or coordinate reference systems.
Experience building data collection and processing pipelines over large volumes of unstructured, unreliable data.
M.Sc. or Ph.D. in a relevant field.
Familiarity with cloud environment development, including AWS.
Culture & Benefits
Work in a multidisciplinary Algorithms group combining physics, signal processing, computer vision, classical algorithms, and AI models.
Work directly with mapping experts, surveyors, and algorithm researchers.
Operate in an environment with ambiguous problem definitions and shifting priorities.
Apply algorithmic methods to real-world infrastructure data, engineering documents, drawings, and coordinate systems.
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