✨ About The Role
- The Senior Machine Learning Engineer will design and develop data models for model predictive control in a production-scale metal 3D printing system.
- This role involves integrating data models and physics-based models into a unified simulation framework to enhance production capabilities.
- The engineer will develop a deep learning framework to model complex physics associated with laser melting printing technology.
- Unsupervised learning algorithms will be created to correlate data with printed part quality, ensuring high standards of production.
- The position requires collaboration with software engineers to deploy data science algorithms in production software and guide the development of big data infrastructure.
âš¡ Requirements
- The ideal candidate will have a bachelor's degree in computer science, applied mathematics, machine learning, data science, or a similar technical discipline.
- A minimum of 5 years of experience in advanced machine learning is required, showcasing a strong background in predictive modeling and deep learning techniques.
- Proficiency in programming languages such as Python and C/C++ is essential for success in this role.
- Candidates should possess experience with machine learning as it relates to physics or the physical world, demonstrating an ability to apply theoretical knowledge to practical applications.
- Strong problem-solving skills and a collaborative mindset are crucial, as the role involves working closely with simulations engineers and software engineers.