AI/ML Engineer for Physics-Based Turbine Simulations

Prattwhitney; East Hartford (CT); On-site; USD 68,900 - 131,100; Full time

Job summary

RTX in Hartford, Connecticut, is seeking an AI/ML Engineer for the Hot Section Engineering (HSE) team. The on-site role focuses on developing ML for turbine component design and evaluation, with cross-functional collaboration across RTX AI/ML teams.

The candidate will implement models for physics-based simulations and fleet analytics, communicating insights to stakeholders. A STEM degree and 2+ years of engineering experience or an advanced degree with 1+ year are required.

Qualifications

• Must have a STEM degree and 2+ years engineering experience or an advanced degree with 1+ year
• Strong Python programming skills and SQL proficiency
• Preferred familiarity with distributed computing and ML frameworks (PyTorch, TensorFlow, JAX) and simulations

Responsibilities

• Work with the AI/ML team to develop and apply ML frameworks for turbine component design.
• Communicate technical solutions to internal/external customers and leadership.
• Design, build, test, deploy, and monitor ML models for physics-based simulations and fleet analytics.
• Collaborate across RTX AI/ML teams to strengthen AI/ML initiatives and infrastructure

Skills

Python

SQL

Machine Learning

Communication

Education

Bachelor's degree in STEM

2+ years engineering experience or advanced degree with 1+ year

Tools

PyTorch

TensorFlow

JAX

High-performance computing

Job description

RTX in Hartford, Connecticut, is seeking an AI/ML Engineer for the Hot Section Engineering (HSE) team. The on-site role focuses on developing ML for turbine component design and evaluation, with cross-functional collaboration across RTX AI/ML teams.

The candidate will implement models for physics-based simulations and fleet analytics, communicating insights to stakeholders. A STEM degree and 2+ years of engineering experience or an advanced degree with 1+ year are required.