AI/ML Software Engineer P2 (Onsite)

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

Job Overview

Position: Hot Section Engineering (HSE) – AI/ML Engineer, Onsite in Hartford, Connecticut.

Eligibility: U.S. citizen or U.S. person. Security clearance: none required.

Responsibilities

• 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 corporate‑level AI/ML initiatives and infrastructure.

Qualifications

Must Have:

• Bachelor’s degree in Science, Technology, Engineering, or Mathematics (STEM).
• 2+ years of engineering experience or advanced degree with 1+ year of experience.
• Strong Python programming skills and SQL proficiency.

Preferred:

• 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 solving machine‑learning problems involving scientific and engineering simulations (e.g., structural, CFD, thermal).

Benefits & Compensation

Salary range: $68,900 – $131,100 USD.

Benefits include medical, dental, vision, life insurance, short‑term disability, long‑term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays.

Additional short‑term and long‑term incentive compensation programs may apply based on level and business unit.

Equal Opportunity Statement

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified individuals with a disability and protected veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.