6 дней назад
Software Engineer II (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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