About the job
About the Role
Join Neural Concept’s dynamic ML Application Engineering team, where our mission is to empower clients across Korea to conquer their most intricate engineering challenges. By partnering closely with engineering and design teams in the automotive, aerospace, and energy sectors, we gain a deep understanding of their pain points and deliver innovative solutions that expedite their design processes. Our advanced platform harnesses the potential of sophisticated computer-aided engineering datasets, directly influencing product design workflows. Utilizing cutting-edge 3D deep learning and engineering intelligence, we enable our clients to create superior products more efficiently.
As a pivotal member of the Application Engineering Team, your role will be to assist industry leaders in transforming their product design processes through state-of-the-art technologies. Your expertise will foster trust and respect among our clients as you provide high-caliber technical solutions. This is a unique opportunity to work at the nexus of engineering and AI, collaborating with leading clients globally while playing a critical role in shaping industry advancements. If you are keen to experience the rapid evolution of engineering, this is the team for you.
Your Responsibilities
Collaborate with customer engineering teams to manage projects, analyze and process engineering data via our platform and Python libraries, and develop customized solutions and workflows.
Implement machine learning and deep learning workflows to address various engineering and physics challenges, while providing proofs-of-concept that showcase the value of our technology in CAD, CAE, and manufacturing.
Train customer teams on effectively utilizing our methods and platform, ensuring seamless adoption of AI into their workflows.
Work closely with developers to translate customer feedback and needs into product enhancements.
Your Profile
You possess a strong desire to address real-world challenges through machine learning and automation, with a commitment to transforming engineering practices among industry leaders.
Holding a Master’s or PhD in Engineering, Applied Mathematics, or Physics.
You have a solid grasp of both engineering principles and machine learning techniques.

