Principal Machine Learning Engineer (Hybrid)

RTX • East Hartford, CT

3d • $107,500 - $204,500 • Hybrid

About The Position

Pratt & Whitney is seeking a Principal Machine Learning Engineer to join the Engineering AI Team within 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.

Requirements

• 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.)

Nice To Haves

• 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.

Responsibilities

• 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

Benefits

• 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
• holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Principal