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Added 5 hours ago
Mechanical Engineering Intern (Spring and Summer 2027)
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RTX

Sr Engineer, Applied Machine Learning (Onsite)

United States

The salary range for this role is 86,800 USD - 165,200 USD.

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Job details

Pay: The salary range for this role is 86,800 USD - 165,200 USD.
Posting language: English
Posted: Oct 29, 2026

Original 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 counseling sessions
Healthy You Incentives, wellness rewards program
Doctor on Demand, virtual doctor visits
Bright Horizons, child and elder care services
Teladoc Medical Experts, second opinion program
And more!

Learn More & Apply Now! Our Advanced Structures team leverages advanced materials and additive manufacturing to develop complex interior and exterior solutions. These solutions ensure structural integrity of the aircraft, help aircraft take off and land, stay trim in the air, move forward, carry cargo and conduct rescues. We delight our customers with superior products and best-in-class service. Our global team is committed to continuous improvement – we work hard to make our solutions lighter-weight, stronger and more technically advanced, so that plane travel can be safer, more affordable and more sustainable in the years to come. We are looking for the best and brightest to fly and land with us! Our industry-leading experts are setting the standards for the aerospace industry and paving the way for the future. But as new challenges present themselves, we need fresh, creative and motivated minds to overcome these hurdles, help us break barriers and achieve new levels of innovation. Do you have what it takes to join a global organization that doesn’t shy away from big opportunities? If so, we invite you to join our ranks and create the next generation of aerospace technologies. Together, we will nurture an engineering culture that values intellectual curiosity, risk takers and integrity. A place where we will challenge ourselves, our teams, and the status quo and where we will work to find a way – the right way – to achieve what others can only dream of.

Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

At Collins, the paths we pave together lead to limitless possibility. And the bonds we form – with our customers and with each other -- propel us all higher, again and again.

Apply now and be part of the team that’s redefining aerospace, every day.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.

Hired applicants may be eligible for benefits, including but not limited to, 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. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

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 or 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.

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More about this job

Skills

Machine learning
Research
Mechanical systems
Customer service
Communicate with customers
ML
Cleaning
Data analysis
Mechanical engineering
Principles of mechanical engineering
Python
NumPy
PySpark
TensorFlow
Scikit-learn
FEA

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