Principal Engineer, AI Machine Learning, Data Analytics

Job not on LinkedIn

🕒 3 days ago

🦌 Connecticut – Remote

🦌 Connecticut – Remote

💵 $107.5k - $204.5k / year

⏰ Full Time

🔴 Lead

📉 Data Analyst

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RTX

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2020

🚀 Aerospace

Aerospace • Defense • Sustainability

RTX is a globally recognized aerospace and defense company dedicated to transformative technologies and era-defining innovation. It operates through various businesses, including Collins Aerospace, Pratt & Whitney, and Raytheon, with a focus on sustainable, connected flight and smarter defense systems. RTX is committed to diversity, equity, and inclusion across the company and aims to solve the world’s most complex problems with cutting-edge technology and talent. Additionally, RTX is involved in significant projects like upgrading the F135 Engine Core and developing missile-defense systems. The company emphasizes corporate responsibility and sustainable practices.

📋 Description

• 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 • Deploy AI/ML applications and/or agentic workflows within Hot Section processes and tools • Communicate technical solutions and insights to internal/external customers and organization 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

🎯 Requirements

• Bachelor’s degree in Science, Technology, Engineering or Mathematics (STEM) • 8 years of engineering experience, or an Advanced degree in a related field and 5 years of related engineering experience • Familiarity with high-performance distributed computing • Knowledge of state-of-the-art architectures, machine learning techniques, and algorithms • Experience developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow, JAX) • Experience with scientific & engineering simulations (e.g., structural, CFD, thermal) • Strong Python programming skills • SQL proficiency • Publication record in scientific machine learning / AI4Science • Experience with gas turbine engines or airbreathing propulsion applications • Understanding of uncertainty quantification (UQ) and statistical inference techniques

🏖️ Benefits

• Eligible for Relocation Benefits • Medical insurance • Dental insurance • Vision insurance • Life insurance • Short-term disability insurance • Long-term disability insurance • 401(k) match • Flexible spending accounts • Flexible work schedules • Employee assistance program • Employee Scholar Program • Parental leave • Paid time off • Holidays