Sr Engineer, Applied Machine Learning (Onsite)

RTX (Raytheon); 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

Date Posted:
2026-10-29

Country:
United States of America

Location:
US-OH-TROY-101 ~ 101 Waco St ~ WACO

Position Role Type:
Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:
U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance Type:
None/Not Required

Security Clearance Status:
Not Required

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.

Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense.

Collins Landing Systems is looking for an experienced, highly motivated Senior Applied Machine Learning Engineer to join our Data and Analytics Team focused on supporting our Wheels and Brakes product line. Relying on a strong background in mechanical systems, you will be instrumental in leading development of data driven and hybrid (physics informed) models covering multidisciplinary (performance, structural, thermal and vibration) aspects of our products. You will have an opportunity to collaborate with a wide range of engineers in design, project, sustaining, customer support, and manufacturing. You will also interact with customers assisting in technical decisions for the products you are working on.

What You Will Do:

• Drive the development, training, and validation of data driven and physics informed machine learning (ML) models, with applications towards wheel and brake performance, structural and thermal design, and vibration mitigation and avoidance.
• Define and standardize validation approaches, acceptance criteria, and performance metrics for analytical and ML models across multiple programs.
• Develop and implement best practices for data curation, cleaning, integration, and preparation for analytics and ML workflows.
• Guide and mentor other engineers on data analytics and machine learning methodologies, fostering skill development and technical growth within the team.
• Lead collaborative efforts with design, reliability, service engineering, and customer support teams to provide data-driven and physics-based recommendations that enhance product performance and address customer needs.
• Create detailed engineering reports, share findings with internal stakeholders, and present design reviews to internal and external customers as required.

Qualifications You Must Have:

• Typically requires a degree in Mechanical Engineering (or equivalent) and minimum 5 years prior relevant experience or an Advanced Degree in a related field and minimum 3 years of experience.
• Expertise in data analytics workflows, statistical methods, and engineering data interpretation, with a proven record of solving complex technical challenges.
• Advanced knowledge of machine learning (ML) concepts, with demonstrated experience in developing, deploying, and validating models for prediction, classification, and anomaly detection.
• Deep understanding of mechanical engineering principles, including structural behavior, dynamics, thermal concepts, and systems performance.

Qualifications We Prefer:

• Hands‑on experience in building and using physics‑informed neural networks (PINNs), physics‑guided/constrained learning and hybrid models that blend first‑principles with data‑driven components.
• Strong experience with Python for data analysis (e.g., NumPy, Pandas, PySpark) and familiarity with ML frameworks such as TensorFlow or Scikit-learn.
• Expertise in specialized engineering data such as strain gauge, thermal, or flight/aircraft performance datasets.
• Direct experience with using finite element analysis (FEA) for structural, thermal and vibration analysis.

What We Offer:

Benefits:

Some of our competitive benefits packages include:

• Medical, dental, and vision insurance
• Three weeks of vacation for newly hired employees
• Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option
• Tuition reimbursement program
• Student Loan Repayment Program
• Life insurance and disability coverage
• Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, and ID theft protection
• Birth, adoption, parental leave benefits
• Autism Health, fertility, and family planning
• Adoption Assistance
• Autism Benefit
• Employee Assistance Plan, including up to 10 free