Auf einen Blick
- Aufgaben: Join our ML Application Engineering Team to solve complex engineering challenges using Python and deep learning.
- Arbeitgeber: We're a fast-growing company revolutionizing engineering with cutting-edge technology in automotive, aerospace, and energy.
- Mitarbeitervorteile: Enjoy a competitive salary, equity compensation, flexible schedules, and a supportive work environment.
- Warum dieser Job: Be part of a team that impacts the future of engineering while working with global leaders and top researchers.
- Gewünschte Qualifikationen: Master’s or PhD in Engineering, Applied Mathematics, or Physics; strong Python and deep learning experience required.
- Andere Informationen: Location: Lausanne or Zurich; hybrid schedule with up to 20% travel to customer sites.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
The ML Application Engineering Team
Our mission is to help our customers 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 developed by our software engineers to unlock the value of the most complex Computer-Aided Engineering datasets and to create a direct impact on production design processes. Using 3D deep learning, we empower our customers to develop better products faster.
What you will do
Our technology is raising strong interest from the engineering world and the number of our users is growing quickly. As a key player in the team, your mission will be to establish trust and admiration from our customers by delivering high-quality technical work.
While working towards this goal:
- You will run projects together with the customer’s engineering teams, develop tailored solutions and analyse data for each project using Python.
- You will apply our deep-learning tools to different engineering/physics problems as well as deliver proofs-of-concept demonstrating how our technology creates value in computer-aided engineering workflows.
- You will be in constant contact with customers to demonstrate the value of NCShape, and transmit the vision of the company.
- You will train our customers to make the most out of their NCShape licences and work with them to develop web applications and APIs putting 3D deep learning in production to accelerate their design processes.
- You will be part of our constant effort to further develop our deep-learning platform by collecting user feedback and relaying it to the product team.
- You will have the opportunity to work with global leaders and top research departments across different industries towards a new engineering revolution.
Who you are
- You have a good understanding of both Physics and ML (strict requirement)
- You hold a Master’s or PhD in Engineering, Applied Mathematics, or Physics
- You have a strong experience with Python programming and experience with deep learning frameworks (strict requirement)
- You like working with people and feel comfortable in the customer-facing role
- You have excellent communication skills and like to work in a team
- You are eager to solve real-world problems with machine learning
- Industry experience in CAD / CFD / FEA modelling is a plus
- Fluent in English.
You get
- A competitive salary and generous equity compensation plan – we are growing fast and want our employees to benefit from this growth.
- Work with people who care about you – we support each other and care about you so that you can thrive.
- Flexible schedule with the possibility of home-office; part-time (80%) or full-time (100%) schedule
- Work with a world-class technology team – our engineers are top-notch.
- The opportunity to be part of a growing company with global ambitions – our product is in demand in all regions of the world.
- The opportunity to contribute to changing the future of engineering – we believe that our product will contribute to changing the future of many industries.
Where you will be
Location: Lausanne or Zurich (Switzerland), hybrid schedule
Travelling: We desire to be close to our customers and meet them regularly. This position might require up to 20% travelling to customer locations.
Start date: Spring 2025
And important
Please keep in mind that you do not need to tick all the boxes to apply. We value people with passion & creativity and offer plenty of space to learn and grow at our company.
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Machine Learning Application Engineer Arbeitgeber: Neural Concept

Kontaktperson:
Neural Concept HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Machine Learning Application Engineer
✨Tip Number 1
Familiarize yourself with the specific engineering challenges faced by industries like automotive, aerospace, and energy. Understanding these pain points will help you connect better with potential customers and demonstrate how your skills can provide tailored solutions.
✨Tip Number 2
Engage with online communities and forums related to machine learning and engineering. This will not only expand your network but also keep you updated on the latest trends and technologies, which can be beneficial during customer interactions.
✨Tip Number 3
Prepare to showcase your experience with Python and deep learning frameworks through practical examples. Being able to discuss real-world applications of your work will help establish your credibility and expertise in front of potential employers.
✨Tip Number 4
Practice your communication skills, especially in a customer-facing context. Being able to clearly explain complex technical concepts to non-experts is crucial for building trust and demonstrating the value of your solutions.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Machine Learning Application Engineer
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Machine Learning Application Engineer position. Familiarize yourself with the technologies mentioned, such as Python programming and deep learning frameworks.
Tailor Your CV: Customize your CV to highlight your experience in Physics, ML, and Python programming. Include any relevant projects or roles that demonstrate your ability to solve engineering challenges and work with customers.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for machine learning and engineering. Explain how your background aligns with the company's mission and how you can contribute to their goals.
Showcase Communication Skills: Since the role involves customer interaction, emphasize your communication skills in your application. Provide examples of how you've successfully collaborated with teams or clients in the past.
Wie du dich auf ein Vorstellungsgespräch bei Neural Concept vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python programming and deep learning frameworks. Bring examples of past projects where you've applied these skills, especially in relation to engineering challenges.
✨Demonstrate Your Understanding of Physics and ML
Since a solid grasp of both Physics and Machine Learning is crucial, be ready to explain how you integrate these fields in your work. Use specific examples to illustrate your problem-solving approach.
✨Emphasize Communication and Teamwork
As this role involves customer interaction, highlight your communication skills and experiences working in teams. Share instances where you've successfully collaborated with others to achieve project goals.
✨Express Your Passion for Engineering Solutions
Convey your enthusiasm for solving real-world problems with machine learning. Discuss any relevant industry experience, particularly in CAD, CFD, or FEA modeling, to show your commitment to advancing engineering practices.