Senior Applied ML Engineer — Physics-Driven Wheel & Brake

RTX; Waco (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

Life insurance

401(k) match

Paid time off

Job summary

RTX, a leading aerospace and defense company, is seeking a Senior Applied Machine Learning Engineer for the Collins Landing Systems data team. You will drive data-driven and physics-informed ML work for wheels, brakes, and thermal/structural performance, collaborating across design, reliability, service, and manufacturing.

You will develop validation strategies, supervise data preparation, and mentor colleagues while communicating results through engineering reports and reviews with internal and

Qualifications

• Degree in Mechanical Engineering with 5+ years experience, or advanced degree with 3+ years.
• Experience in data analytics workflows and engineering data interpretation.
• Advanced ML knowledge with modeling for prediction, classification, anomaly detection.
• Solid understanding of structural dynamics and thermal performance.

Responsibilities

• Develop and validate data-driven and physics-informed ML models for wheels and brakes.
• Define validation criteria and performance metrics for analytics models.
• Prepare data curation and preprocessing for analytics workflows.
• Mentor engineers on data analytics and ML methods.
• Collaborate with design, reliability, service, and customers for data-based recommendations.
• Create engineering reports and present findings to stakeholders.

Skills

Data analytics

Statistics

ML concepts

Mechanical principles

Education

Mechanical Engineering degree

Advanced degree in related field

Tools

Python

TensorFlow

Scikit-learn

FEA

Job description

RTX, a leading aerospace and defense company, is seeking a Senior Applied Machine Learning Engineer for the Collins Landing Systems data team. You will drive data-driven and physics-informed ML work for wheels, brakes, and thermal/structural performance, collaborating across design, reliability, service, and manufacturing.

You will develop validation strategies, supervise data preparation, and mentor colleagues while communicating results through engineering reports and reviews with internal and