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6 дней назад

Software Engineer II (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
China
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer II (AI): Developing machine learning and AI technologies at the intersection of scientific computing and computational physics with an accent on neural networks, statistical inference, and production-oriented research. Focus on implementing innovative algorithms in Python/C++, applying modern deep learning methods, and translating research results into production systems.

Location: Beijing, China

Company

hirify.global Design Systems provides computational software for intelligent system design.

What you will do

  • Conduct cutting-edge research at the intersection of scientific computing and machine learning/AI.
  • Develop and implement neural network and deep learning algorithms for scientific applications.
  • Translate theoretical knowledge and algorithms into innovative research results and production technologies.
  • Collaborate with a cross-functional engineering team to deliver machine learning solutions.

Requirements

  • PhD in computer science, applied mathematics, computational physics, or electrical engineering.
  • Expertise in the theory and practice of neural networks and deep learning, including contemporary methods such as graph neural networks, attention mechanisms, transformer networks, reinforcement learning, and transfer learning.
  • Knowledge of classical statistical inference and the ability to apply algorithms in practice.
  • Strong programming proficiency in Python and C++.
  • Familiarity with machine learning frameworks such as PyTorch, TensorFlow, or Julia.

Nice to have

  • Strong computer science background.
  • Knowledge of physics-informed machine learning, physics-informed neural networks, neural operator theory, or DeepONets.
  • Experience with scientific computing or computational physics, including computational electromagnetics, fluid dynamics, molecular dynamics, thermal analysis, or electrical circuit simulation.

Culture & Benefits

  • Full-time role within a cross-disciplinary R&D environment.
  • Opportunity to work on research that is ultimately delivered in a production environment.
  • Focus on developing innovative technologies for complex engineering and scientific problems.

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