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ML Application Engineer (Japanese or Korean-speaking)

Neural Concept
Lausanne, VD

Soumettre votre candidature

Détails de l'emploi

100%

Qualifications

Niveau Doctorat
CAD
Anglais
Japonais
Niveau Master
Compétences en communication
Python

Description complète du poste

About the Role

The mission of Neural Concept’s ML Application Engineering team is to help our customers in Korea and solve their most complex engineering challenges. We collaborate closely with engineering and design teams within the automotive, aerospace and energy industries, understand their challenges and pains, and help them identify solutions to accelerate their conception processes. We leverage our platform to unlock the value of the most complex computer-aided engineering datasets and to create a direct impact on product design processes. Using 3D deep learning and engineering intelligence, we empower our customers to develop better products faster.

As a key player in the Application Engineering Team, your mission will be to help industry leaders to redefine their product design workflow with cutting-edge technologies. Your expertise should establish trust and admiration from our customers by delivering high-quality technical work. This is a chance to be at the intersection of engineering and AI, working with top-tier customers worldwide while shaping how the industry evolves. If you are interested in feeling firsthand the fast progress of engineering, this is the team for you.

What you will do

You will run projects together with our customer’s engineering teams, analyze and process engineering data using our platform and python libraries, and develop tailored solutions and workflows
You will apply our machine- and deep-learning workflows to different engineering/physics problems, as well as deliver proofs-of-concept demonstrating how our technology creates value in CAD, CAE, and manufacturing.
You will train customer teams to effectively use our methods and platform, ensuring smooth AI adoption into their workflows.
You will work closely with our developers to translate customer needs and feedback into product improvements.

Who you are

You are eager to tackle real-world challenges through machine learning and automation, with a passion for reshaping how engineering is practiced by industry leaders
You hold a Master’s or PhD degree in Engineering, Applied Mathematics, or Physics
You have an excellent understanding of both Engineering and Machine Learning (strict requirement)
You have strong experience with Python programming, and experience with machine learning and deep learning frameworks and libraries (strict requirement)
You have experience with simulation. Industry experience in CAD / CAE (CFD, FEM, etc) modelling is a plus
You can convey technical concepts to both technical and non-technical stakeholders in a clear and compelling way

You have excellent communication skills, enjoy working with people, and feel comfortable in the customer-facing role
You are fluent in English and Korean or Japanese (preferably native)- mandatory requirement.

What You Get

Work with a world-class technology team – our engineers are top-notch, and we always aim for excellence.
Benefit from a competitive salary and rewarding opportunities as we continue to scale.
Thrive in a collaborative, multicultural environment where your work is visible and recognized.
Develop professionally alongside talented colleagues who share knowledge freely and support one another.
Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable.
Balance life and work with a hybrid model and flexible hours—we care about results, not rigid schedules.

What You Will Be

Location : Lausanne (Switzerland), UK, India, USA

Eligibility: we do provide Swiss visa sponsorship for a successful candidate

Travelling: Regular travels to South Korea and/ or Japan

We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.

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We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.

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