Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У вакансии четкий фокус на научном ML, разработке алгоритмов и HPC в продуктовой компании, но ожидания по уровню Principal и повседневные задачи описаны не до конца.
Неясный уровень
Современный ML-стек
Продуктовые исследования
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Principal Scientific Developer (Machine Learning): Designing and developing machine learning algorithms and data-driven models for subsurface exploration and engineering solutions with an accent on geophysical data, neural networks, and large-scale scientific computing. Focus on optimizing HPC workloads, evaluating emerging ML technologies, and building applications for complex oil and gas datasets.
Location: Tel Aviv, Israel
Company
hirify.global develops subsurface and engineering software solutions for the oil and gas industry.
What you will do
Design and develop machine learning algorithms in the geophysical domain.
Develop machine learning applications for subsurface exploration systems with data scientists, engineers, and software developers.
Research advanced machine learning approaches and emerging technologies from industry and academia.
Optimize code and large-scale jobs for runtime acceleration using high-performance computing.
Collaborate with R&D, testing, product, customers, product managers, and technical staff on technology strategies and innovation.
Requirements
BSc in Computer Science, Geoscience, Physics, Mathematics, Statistics, or a similar scientific discipline.
Experience with machine learning and neural networks.
Strong Python skills and hands-on experience with modern ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
Written and verbal fluency in English.
Strong interpersonal, communication, writing, and presentation skills.
Nice to have
Experience in geoscience or related fields such as medical imaging, computer vision, machine vision, remote sensing, or scientific imaging.
Programming experience in C++.
Culture & Benefits
Collaborative environment with knowledge sharing and joint projects.
Career development programs and community service opportunities.
Social events supporting relationship building across the global community.
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