About the job
About the Role
Join Neural Concept’s innovative ML Application Engineering team, where our mission is to assist clients in overcoming their most intricate engineering challenges. Collaborating closely with engineering and design teams across the automotive, aerospace, and energy sectors, we delve into their pain points to identify solutions that expedite their conceptual development processes. By harnessing our platform, we unlock the potential of complex computer-aided engineering datasets, creating a significant impact on product design workflows. Our use of 3D deep learning and engineering intelligence empowers our clients to design superior products more efficiently.
As a vital member of the Application Engineering Team, you will play a crucial role in guiding industry leaders to transform their product design processes using state-of-the-art technologies. Your expertise will foster trust and admiration among our clients through the delivery of high-quality technical solutions. This is your opportunity to be at the forefront of engineering and AI, collaborating with elite customers around the globe while influencing the future of the industry. If you are excited about experiencing the rapid advancements in engineering, this is the team for you.
Key Responsibilities
- Collaborate with customer engineering teams to analyze and process engineering data using our platform and Python libraries, while developing customized solutions and workflows.
- Implement machine and deep learning workflows to solve diverse engineering and physics challenges, delivering proofs-of-concept that illustrate how our technology adds value in CAD, CAE, and manufacturing contexts.
- Educate customer teams on the effective use of our methods and platform, ensuring seamless integration of AI into their existing processes.
- Work closely with our development team to translate client feedback and needs into product enhancements.
Your Profile
- You are passionate about addressing real-world challenges through machine learning and automation, with a strong desire to transform engineering practices for industry leaders.
- You possess a Master’s or PhD degree in Engineering, Applied Mathematics, or Physics.
- You have a robust understanding of both engineering principles and machine learning concepts.

