Principal Machine Learning Engineer (Hybrid)

Date Posted:

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 worlds largest aerospace and defense company 185000 great minds are united by purpose and inspired to make a difference solving the worlds 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:

• Bachelors 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. Weve 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 employees personal responsibility.

As part of our commitment to maintaining a secure hiring process candidates may be asked to attendselect 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 107500 USD - 204500 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 candidates 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 companys 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