AI/ML Software Engineer P2 (Onsite)

RTX•East Hartford, CT

1d•Onsite

About The Position

Work with the AI/ML team to develop and apply novel machine learning frameworks and methodologies supporting the design and evaluation of turbine components for the Hot Section Engineering organization. Communicate technical solutions and insights to internal/external customers and organization leadership. Design, build, test, deploy, and monitor machine learning models for physics-based simulations, fleet analytics, and component design. Collaborate across RTX AI/ML teams to strengthen the corporate level AI/ML initiatives and infrastructure.

Requirements

Bachelor’s degree in Science, Technology, Engineering or Mathematics (STEM).
2+ years of engineering experience or an advanced degree with 1+ years of experience.
U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Nice To Haves

Familiarity with high-performance distributed computing.
Knowledge of state-of-the-art architecture, machine learning techniques, and algorithms with experience developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow, JAX).
Experience with solving and using machine learning for real world problems involving scientific & engineering simulations (e.g., structural, CFD, thermal).
Strong Python programming skills and SQL proficiency

Responsibilities

Develop and apply novel machine learning frameworks and methodologies supporting the design and evaluation of turbine components for the Hot Section Engineering organization.
Communicate technical solutions and insights to internal/external customers and organization leadership.
Design, build, test, deploy, and monitor machine learning models for physics-based simulations, fleet analytics, and component design.
Collaborate across RTX AI/ML teams to strengthen the corporate level AI/ML initiatives and infrastructure.