‹ Back
Job details
Date Posted:2026-02-26Country:United States of America
Location
:US-CT-REMOTEPosition Role Type:RemoteU. S. Citizen, U. S. Person, or Immigration Status
Requirements
:This job requires a U. S. Person. A U. S. Person is a lawful permanent resident as defined in 8 U. S. C. 1101(a)(20) or who is a protected individual as defined by 8 U. S. C. 1324b(a)(3). U. S. citizens, U. S. nationals, U. S. permanent residents, or individuals granted refugee or asylee status in the U. S. are considered U. S. persons. For a complete definition of “U. S. Person” go here. https://www. ecfr. gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-
120. 62Security Clearance Type: None/Not RequiredSecurity Clearance Status: Not RequiredAre you ready to explore the world of aerospace and defense. Do you want to learn from and collaborate with some of the greatest minds in the industry. At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on complex problems, advance your skills and create a safer, more connected world. Discover opportunities to make a difference at RTX. Pratt Whitney is working to once again transform the future of flight—designing, building, and servicing engines unlike any the world has ever seen. And because transformation begins from within, we’re seeking the people to drive it. So, calling all curious. Come ready to explore and you’ll find a place where your talent takes flight—beyond the borders of title, a country, or your comfort zone. Bring your passion and commitment and we’ll welcome you into a tight-knit team that takes
our mission
personally. Channel your drive to make a difference into shaping an organization and an industry that’s evolving fast to the future. At Pratt Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond.
The AI/ML Methods group at Pratt Whitney focuses on developing cutting-edge artificial intelligence and machine learning solutions to solve complex challenges in aerospace engineering.
As an intern, you will have the opportunity to work alongside a team of experts and contribute to impactful projects shaping the future of aviation.
What You Will DoCollaborate with team members to design, develop, and implement AI/ML models for applications such as predictive maintenance, anomaly detection, optimization problems, or natural language processing. Analyze large datasets from various sources to extract insights and validate model performance. Develop scripts or tools to automate data preprocessing, feature engineering, or model evaluation workflows. Document methodologies and results clearly for internal presentations or reports.
What You Will LearnEngineering Interns at Pratt Whitney work on challenging, meaningful, and impactful projects across our business.
Our intern program seeks to help you develop an understanding of the aerospace industry and learn about our company and its operations.
This internship provides hands-on experience in applying AI/ML techniques within the aerospace industry while fostering professional growth through mentorship opportunities and exposure to real-world challenges.
Qualifications
You Must HaveEnrolled in a degree program in Computer Science, Data Science, Engineering (Mechanical/Aerospace/Electrical), Mathematics, or a related field. Minimum Cumulative GPA of
3. 0
Qualifications
We PreferExperience in Python or other relevant languagesExperience with machine learning algorithms (e. g. , supervised/unsupervised learning) and statistical methodsExperience applying AI/ML in aerospace contextExperience with cloud platforms (AWS/Azure) for ML workflowsExperience working with data manipulation tools such as Pandas or NumPyExperience with libraries like TensorFlow, PyTorch, Scikit-learnLearn More Apply Now.
This position is classified as Remote. Please ensure this role type (defined below) is appropriate for your needs before applying to this role. Candidates will learn more about role type and current site status throughout the recruiting process. Remote: Employees who are working in Remote roles will work primarily offsite (from home).
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
location
s, regardless of whether the role is designated as on-site, hybrid or remote.
The
salary range
for this role is 37,000 USD - 82,000 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. Privacy Policy and Terms:Click on this link to read the Policy and Terms.
Location
:US-CT-REMOTEPosition Role Type:RemoteU. S. Citizen, U. S. Person, or Immigration Status
Requirements
:This job requires a U. S. Person. A U. S. Person is a lawful permanent resident as defined in 8 U. S. C. 1101(a)(20) or who is a protected individual as defined by 8 U. S. C. 1324b(a)(3). U. S. citizens, U. S. nationals, U. S. permanent residents, or individuals granted refugee or asylee status in the U. S. are considered U. S. persons. For a complete definition of “U. S. Person” go here. https://www. ecfr. gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-
120. 62Security Clearance Type: None/Not RequiredSecurity Clearance Status: Not RequiredAre you ready to explore the world of aerospace and defense. Do you want to learn from and collaborate with some of the greatest minds in the industry. At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on complex problems, advance your skills and create a safer, more connected world. Discover opportunities to make a difference at RTX. Pratt Whitney is working to once again transform the future of flight—designing, building, and servicing engines unlike any the world has ever seen. And because transformation begins from within, we’re seeking the people to drive it. So, calling all curious. Come ready to explore and you’ll find a place where your talent takes flight—beyond the borders of title, a country, or your comfort zone. Bring your passion and commitment and we’ll welcome you into a tight-knit team that takes
our mission
personally. Channel your drive to make a difference into shaping an organization and an industry that’s evolving fast to the future. At Pratt Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond.
The AI/ML Methods group at Pratt Whitney focuses on developing cutting-edge artificial intelligence and machine learning solutions to solve complex challenges in aerospace engineering.
As an intern, you will have the opportunity to work alongside a team of experts and contribute to impactful projects shaping the future of aviation.
What You Will DoCollaborate with team members to design, develop, and implement AI/ML models for applications such as predictive maintenance, anomaly detection, optimization problems, or natural language processing. Analyze large datasets from various sources to extract insights and validate model performance. Develop scripts or tools to automate data preprocessing, feature engineering, or model evaluation workflows. Document methodologies and results clearly for internal presentations or reports.
What You Will LearnEngineering Interns at Pratt Whitney work on challenging, meaningful, and impactful projects across our business.
Our intern program seeks to help you develop an understanding of the aerospace industry and learn about our company and its operations.
This internship provides hands-on experience in applying AI/ML techniques within the aerospace industry while fostering professional growth through mentorship opportunities and exposure to real-world challenges.
Qualifications
You Must HaveEnrolled in a degree program in Computer Science, Data Science, Engineering (Mechanical/Aerospace/Electrical), Mathematics, or a related field. Minimum Cumulative GPA of
3. 0
Qualifications
We PreferExperience in Python or other relevant languagesExperience with machine learning algorithms (e. g. , supervised/unsupervised learning) and statistical methodsExperience applying AI/ML in aerospace contextExperience with cloud platforms (AWS/Azure) for ML workflowsExperience working with data manipulation tools such as Pandas or NumPyExperience with libraries like TensorFlow, PyTorch, Scikit-learnLearn More Apply Now.
This position is classified as Remote. Please ensure this role type (defined below) is appropriate for your needs before applying to this role. Candidates will learn more about role type and current site status throughout the recruiting process. Remote: Employees who are working in Remote roles will work primarily offsite (from home).
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
location
s, regardless of whether the role is designated as on-site, hybrid or remote.
The
salary range
for this role is 37,000 USD - 82,000 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. Privacy Policy and Terms:Click on this link to read the Policy and Terms.
The company
R
RTX United States
