About the job
Neural Concept creates AI-driven tools for engineering and design teams, with a focus on 3D deep learning and engineering intelligence. The company’s platform supports clients in automotive, aerospace, and energy as they improve product design processes. Based in Seoul, Neural Concept works with industry leaders to solve engineering challenges and speed up innovation.
Role overview
The Machine Learning Application Engineer role bridges engineering and artificial intelligence. This position is part of the ML Application Engineering team and involves direct collaboration with clients throughout Korea. The focus is on understanding each client’s technical needs and delivering practical, tailored solutions. Daily work includes close interaction with engineering and design teams as they adopt AI and machine learning in their product development cycles.
What you will do
- Partner with customer engineering teams to manage projects, analyze and process engineering data using the Neural Concept platform and Python libraries, and develop custom workflows.
- Design and implement machine learning and deep learning solutions for engineering and physics challenges, including building proofs-of-concept for CAD, CAE, and manufacturing applications.
- Train client teams on Neural Concept’s platform and methods, ensuring smooth integration of AI into their workflows.
- Work with internal developers by sharing customer feedback and helping improve the product.
Requirements
- Strong drive to address real-world engineering problems using machine learning and automation.
- Master’s or PhD in Engineering, Applied Mathematics, or Physics.
- Solid grasp of engineering fundamentals and machine learning techniques.
Location
Seoul, Korea

