Machine Learning Application Engineer

Machine Learning Application Engineer - Gamma Technologies

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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 meta models, 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.

• 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 GTs 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

• 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, Tensor Flow, PyTorch) and Math Works (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

Entry level

Full-time

Engineering and Information Technology

Software Development