Who We Are
GT, a leading multi-physics CAE simulation software provider, develops a suite of integrated solutions that guides and accelerates the engineering transformation of today’s products in the transportation, power generation, and industrial equipment industries.
At Gamma Technologies, our people are the driving force behind our success. We are looking for Machine Learning Application Engineer who shares our passion for authentic innovation, trusted partnerships, bold decisions and a relentless focus on customer success.
What You Will Do
You will support and evolve our Machine Learning capabilities in our MLA (Machine Learning Assistant) app. The MLA helps users train simulation results from GT-SUITE into ML-based metamodels, for rapid evaluation of different scenarios. Metamodel use cases range from optimization to fast-running surrogate models in “software in the loop” applications, all the way to offering extremely fast on-chip predictivity.
This role blends customer engagement, technical depth, and product management. You’ll work independently and collaboratively to drive innovation, solve complex challenges, and deliver impactful solutions in applied machine learning.
Lead customer engagements to understand needs and promote adoption
Translate customer insights into prioritized roadmap items and ensure delivery of high-impact solutions
Collaborate cross-functionally to improve processes, expand capabilities, and support strategic and GTM initiatives
Provide expert support for GT’s machine learning applications, guiding customers through onboarding, evaluations, and usage
Conduct applied ML research and develop case studies across a range of modeling and analysis techniques
Create and deliver advanced training content and walkthroughs for internal and external audiences
Contribute to documentation and example libraries, including Python-based ML workflows and API extensions
Work with development team to manage implementation of features
What You Will Bring
Bachelor’s or Master’s in Engineering, Computer Science, Data Science, or related field
Experience with ML tools such as Python libraries (e.g., scikit-learn, TensorFlow, PyTorch) and MathWorks (MATLAB, Simulink)
Demonstrated ability to work independently, manage complex projects, and influence cross-functional teams
Excellent communication skills and ability to translate technical concepts into actionable insights.
Experience with CAE tools is preferred
What we Can Offer You
Dynamic and highly talented team of experts.
The opportunity to bring in your own ideas, implement them and make them accessible to a large customer base.
The opportunity to build a professional network in various branches of industry.
The primary work location will be our Stuttgart, Germany office. We’ve adopted a hybrid work policy asking employees to report to the office 3 days per work week.
An attractive salary and additional company benefits.
We’re an Equal Opportunity Employer, dedicated to creating an inclusive workplace for all.