AI Machine Learning Data Analytics Principal Engineer
New
United StatesFull-TimePrincipal
Salary107,500 - 204,500 USD per year
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Job Details
- Experience
- 8 years of engineering experience, or an Advanced degree in a related field and 5 years of related engineering experience.
- Required Skills
- PythonSQLMachine LearningPyTorchTensorflowDeep Learning
Requirements
- Bachelor’s degree in a STEM field (Science, Technology, Engineering, or Mathematics).
- Minimum 8 years of engineering experience, or 5 years of related engineering experience with an Advanced degree.
- Strong Python programming skills.
- SQL proficiency.
- Familiarity with high-performance distributed computing.
- Knowledge of state-of-the-art architectures, machine learning techniques, and deep learning frameworks (e.g., PyTorch, Tensorflow, JAX).
- Experience applying machine learning to real-world scientific and engineering simulations (e.g., structural, CFD, thermal).
- Understanding of uncertainty quantification (UQ) and statistical inference techniques.
- Publication record in scientific machine learning or AI4Science preferred.
- Experience with gas turbine engines or airbreathing propulsion applications preferred.
Responsibilities
- Develop and apply novel machine learning frameworks and methodologies to support turbine component design and evaluation within the Hot Section Engineering organization.
- Deploy AI/ML applications and agentic workflows into existing processes and tools.
- Communicate technical solutions, progress, and insights to both internal and external customers and leadership.
- Advocate for and participate in fundamental AI/ML research with academic and external research institute partners.
- Collaborate with RTX AI/ML teams to strengthen corporate-level AI/ML initiatives and infrastructure.
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