Principal Machine Learning Engineer (Hybrid)

Prattwhitney; East Hartford (CT); Hybrid; USD 108,000 - 205,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision coverage

401(k) match

Job summary

Pratt & Whitney is seeking a Principal Machine Learning Engineer to join the Engineering AI Team within the Digital Engineering Organization. The role focuses on accelerating end-to-end AI/ML solutions across design, production, and sustainment, and on building and maintaining AI platforms and best practices.

You will work on physics-informed models, computer vision, NLP/LLM, and related AI capabilities, with responsibilities spanning data gathering, training, deployment, and monitoring across

Qualifications

• Bachelor's degree in Science, Technology, Engineering or Mathematics (STEM) and 8 years of relevant digital and/or engineering experience.
• Advanced Degree in a related field with 5 years of relevant digital and/or engineering work experience.
• Hands-on experience with Data and AI or Digital-driven Engineering applications and AI components.

Responsibilities

• Develop and integrate AI/ML solutions into engine design, development, production, and sustainment domains.
• Build, test, deploy, and monitor AI systems across multiple use cases (design optimization, inspection, productivity).
• Define, document, and train AI/ML best practices; architect and maintain AI platform ecosystems.

Skills

AI/ML modeling

LLM-based systems

Pipelines & deployment

Education

Bachelor's degree in STEM

Advanced degree in related field

Job description

Date Posted: 2026-09-08 Country: United States of America Location: US-CT-EAST HARTFORD-ETC ~ 400 Main St ~ BLDG ETC Position Role Type: Hybrid 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. Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense.

What You Will Do

Pratt & Whitney is seeking a Principal Machine Learning Engineer to join the Engineering AI Team withing the Digital Engineering Organization. The team is tasked with accelerating end-to-end AI/ML solutions across our value stream (from Engine Design and Development, Production, and Sustainment), supporting enabling AI platforms, and building our Digital Discipline. Developing and integrate AI / ML solutions into existing and future domain specific systems. Including physics informed regressions, machine vision, language models, etc. Build, test, deploy, and monitor AI systems across multiple use cases (design optimization, product inspection, field investigation, productivity assistants, etc.) Develop and maintain AI and ML models across their lifecycle - from data gathering, feature engineering, model training, validation, deployment, and monitoring Develop and maintain full stack software systems that integrate AI models and capabilities Architect, evaluate, implement, and maintain elements of the P&W AI Platform Ecosystem (e.g., MLOps, Image Annotation, Databricks Workspaces, etc.) Support efficient rollout of enterprise wide AI productivity tools such as Microsoft Copilot Define, document, and train AI/ML best practices

What You Will Learn

Experience productionizing end-to-end AI systems impacting the design, make, and sustainment of Pratt & Whitney engines Experience productionizing Data & AI driven AI applications (regression, classification, computer vision, NLP/LLM/GenAI, forecasting, anomaly detection, etc.) Experience with system administration of enabling AI tools across a large-scale user base Exposure across the Digital Tools and Data Science discipline to build proficiency across Data & AI, MDAO, Cloud Computing, etc. Build partnerships across the global Pratt & Whitney team (Engineering, Digital, Ops and across international sites)

Qualifications You Must Have

• Bachelor's degree in Science, Technology, Engineering or Mathematics (STEM) and 8 years of relevant digital and/or engineering experience; or Advanced Degree in a related field and 5 years of relevant digital and/or engineering work experience 3 years of relevant work experience with Data and AI or otherwise Digital-driven Engineering applications and a combination of the following: production AI/ML modeling, pipelines, system integration and model monitoring Development and deployment of software systems that integrate one or more AI components Hands on experience using LLM-based chat systems (ChatGPT, Gemini, Copilot, etc.)

Qualifications We Prefer

• Active Secret Clearance Professional Certificates for AI and Cloud Applications (e.g., AWS Solution Architect Associate or Profession, AWS ML Specialty, etc.) Prior knowledge of the aerospace industry (design, analysis, manufacture, and/or aftermarket support) Experience developing, deploying, and maintaining a production cloud-based application (Amazon Web Services or Microsoft Azure) Experience deploying and managing ML on edge devices Experience developing, deploying, and maintaining Python-based packages or web/API applications Experience implementing various types of AI solutions including, LLM/GenAI, Machine Vision, Physics Informed Regressions, etc. Experience with ML packages such as Tensorflow or PyTorch Experience managing AI Platforms (Databricks, mlfow server, AWS Sagemaker Studio, or other internal solutions) Experience deploying and managing production ML (including MLOps) and software systems Engineering experience with multi-disciplinary analysis and optimization (MDAO) experience with FEA or CFD and optimization Disciplined software engineering experience (e.g., automated testing, code reviews, CI/CD) Navigating compliance processes for export control, legal, cyber security, architectural review, etc.

What is my role type?

In addition to transforming the future of flight, we are also transforming how and where we work. We’ve introduced role types to help you understand how you will operate in our blended work environment. This role is: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance workers, as they are essential to the development of our engines. Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee’s personal responsibility. 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 107,500 USD - 204,500 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.
• 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: RTX is an aerospace and defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace, Pratt & Whitney, and Raytheon. Its 195,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, Virginia.
• 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.