Auf einen Blick
- Aufgaben: Join our ML Engineering team to solve complex engineering challenges using Python and deep learning.
- Arbeitgeber: We empower industries like automotive and aerospace with cutting-edge machine learning solutions.
- Mitarbeitervorteile: Enjoy a competitive salary, equity compensation, flexible schedule, and 25 days of paid vacation.
- Warum dieser Job: Make a real-world impact while working with top-notch engineers in a supportive, dynamic environment.
- Gewünschte Qualifikationen: Master’s or PhD in relevant fields with strong Python and deep learning experience required.
- Andere Informationen: Remote work available; travel to customer locations in the US is required.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
The ML Engineering Team
Our mission is to support our customers in solving 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, Neural Concept, and its components 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
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 and deliver proofs-of-concept demonstrating how our technology creates value in CAE workflows.
- Train customer teams to effectively use the NC platform, ensuring smooth adoption into their workflows.
- Work closely with the product team to translate customer feedback into product improvements.
Who you are
- You hold a Master’s or PhD in Mechanical Engineering, Aerospace Engineering, Applied Mathematics, or Physics.
- You have a good understanding of both Engineering and ML (strict requirement ).
- You have strong experience with Python programming and experience with deep learning frameworks.
- You like working with people and feel comfortable in a 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.
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 a world-class technology team – our engineers are top-notch!
- Global Exposure – work with leading companies and researchers worldwide.
- The opportunity to be part of a growing company with global ambitions – our product is in demand in all regions of the world!
- A dynamic environment that fosters continuous learning and career progression.
- Work with people who care about you – we support each other and care about you so you can thrive.
- Flexible hybrid schedule.
- Benefits: 25 days of paid vacations per year, healthcare (medical/vision/dental), 401K matching.
And important
Location: New Jersey or remote.
Travelling: This position will require travelling to customer locations in the US.
Start date: March – July 2025.
Eligibility: Only U.S. citizens will be considered for this role. Unfortunately, for this position, we will not accept applications from Green Card holders, F1, OPT, or other working visa holders and your application will be rejected. We do not provide any visa sponsorship either.
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Machine Learning Engineer (Remote) Arbeitgeber: Neural Concept

Kontaktperson:
Neural Concept HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Machine Learning Engineer (Remote)
✨Tip Number 1
Make sure to showcase your experience with Python and deep learning frameworks in your conversations. Highlight specific projects where you've applied these skills, especially in engineering contexts.
✨Tip Number 2
Prepare to discuss how you've collaborated with engineering teams in the past. Be ready to share examples of how you’ve developed tailored solutions and analyzed data to solve complex problems.
✨Tip Number 3
Since this role is customer-facing, practice your communication skills. Think about how you can effectively explain technical concepts to non-technical stakeholders and demonstrate your ability to build trust.
✨Tip Number 4
Familiarize yourself with the Neural Concept platform and its applications in CAE workflows. Being knowledgeable about the product will help you stand out and show your genuine interest in the role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Machine Learning Engineer (Remote)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Machine Learning Engineer position. Highlight your experience in engineering and machine learning, especially with Python and deep learning frameworks.
Tailor Your CV: Customize your CV to reflect your relevant skills and experiences that align with the job description. Emphasize your educational background in Mechanical Engineering, Aerospace Engineering, Applied Mathematics, or Physics, and any industry experience in CAD/CFD/FEA modeling.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for solving real-world problems with machine learning. Mention specific projects where you've collaborated with engineering teams and how you delivered tailored solutions.
Highlight Communication Skills: Since this role involves customer interaction, make sure to highlight your excellent communication skills. Provide examples of how you've effectively trained teams or communicated complex technical concepts in previous roles.
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 projects you've worked on that demonstrate your ability to solve engineering problems using machine learning.
✨Understand the Industry
Familiarize yourself with the automotive, aerospace, and energy industries. Be ready to discuss how your skills can address specific challenges these sectors face, particularly in Computer-Aided Engineering.
✨Emphasize Communication Skills
Since this role involves customer interaction, highlight your communication skills. Prepare to share examples of how you've effectively collaborated with teams or trained others in technical concepts.
✨Prepare for Problem-Solving Scenarios
Expect to be presented with real-world engineering challenges during the interview. Practice articulating your thought process and how you would approach solving these problems using machine learning techniques.