ML Application Engineer (AI)

TL;DR

ML Application Engineer (AI/Engineering): Implementing machine learning and 3D deep learning solutions for customers in automotive, aerospace, and energy industries with an accent on processing complex computer-aided engineering datasets. Focus on developing tailored AI workflows, creating proofs-of-concept for CAD/CAE problems, and integrating AI into traditional engineering design processes.

Location: Hybrid in Seoul, Korea

Company

hirify.global provides an AI-driven platform that leverages 3D deep learning and engineering intelligence to accelerate product design processes for industry leaders.

What you will do

• Manage projects with customer engineering teams to analyze and process data using the company platform and Python libraries.
• Apply machine and deep learning workflows to physics and engineering problems to deliver proofs-of-concept in CAD, CAE, and manufacturing.
• Train customer teams on AI methods and platform usage to ensure smooth adoption into their existing workflows.
• Collaborate with internal developers to translate customer feedback into tangible product improvements.

Requirements

• Master’s or PhD degree in Engineering, Applied Mathematics, or Physics.
• Strong proficiency in Python and experience with machine learning and deep learning frameworks.
• Deep technical understanding of both Engineering principles and Machine Learning.
• Experience with simulation, specifically CAD/CAE modeling (CFD, FEM, etc).
• Fluent in English and Korean (preferably native).
• Ability to work in a hybrid model in Seoul, Korea.

Culture & Benefits

• Collaborative and multicultural environment with a world-class technology team.
• Competitive salary and professional growth opportunities within a scaling company.
• Flexible working hours and a hybrid work model focusing on results rather than rigid schedules.
• Opportunity to make a global impact on sustainable and smarter AI-assisted design.