Senior Principal Machine Learning Engineer (Hybrid)
RTX Corporation3 days ago
Hartford, CT, USAStaff+
Base Salary
$132k - $252k/yr
Responsibilities
- Lead development and integration of AI/ML solutions across engine design, production, and sustainment workflows.
- Build, test, deploy, monitor, and continuously improve AI systems for optimization, inspection, field investigation, productivity, forecasting, anomaly detection, and related use cases.
- Own the end-to-end AI/ML lifecycle, including data strategy, feature engineering, model training, validation, deployment, monitoring, and operational support.
- Develop and maintain full-stack software systems that integrate AI models and capabilities into engineering and business workflows.
- Define, architect, and implement scalable capabilities, standards, and operational processes for the Pratt & Whitney AI Platform ecosystem.
- Lead technical adoption and enablement of enterprise AI capabilities across Engineering, Digital, and Operations organizations.
- Establish and promote AI/ML engineering standards and best practices while mentoring engineers and helping develop the AI discipline.
- Partner with technical and business leaders to identify, prioritize, and implement high-value AI capabilities.
- Lead cross-functional technical efforts involving engineering, digital, cybersecurity, legal, compliance, and other stakeholders.
Requirements
- Bachelor’s degree in Science, Technology, Engineering, or Mathematics and 10+ years of relevant digital or engineering experience, or an advanced degree in a related field and 7+ years of relevant experience.
- Demonstrated experience leading development and deployment of Data and AI solutions in complex engineering or enterprise environments.
- Experience leading production AI/ML solutions involving model development, deployment, MLOps, system integration, and operational support.
- Experience architecting and delivering software systems that integrate AI capabilities into engineering or business workflows.
- Hands-on experience using LLM-based chat systems such as ChatGPT, Gemini, or Copilot.
- Preferred: AI and cloud application certifications such as AWS Solutions Architect or AWS Machine Learning Specialty.
- Preferred: aerospace industry experience and production cloud application experience with Amazon Web Services or Microsoft Azure.
- Preferred: experience deploying and managing machine learning on edge devices and developing Python packages or web/API applications.
- Preferred: experience with LLM/GenAI, machine vision, physics-informed regressions, TensorFlow, or PyTorch.
- Preferred: experience implementing enterprise AI environments using Databricks, MLflow, AWS SageMaker Studio, or similar technologies.
- Preferred: experience scaling production ML and MLOps capabilities across multiple projects, products, or organizations.
- Preferred: experience with cross-functional technical leadership, mentoring, engineering best practices, MDAO, FEA, CFD, and optimization.
- U.S. citizenship is required because only U.S. citizens are authorized to access information under the program or contract.
Benefits
- Hybrid work arrangement with regular onsite and offsite work; onsite ratio is determined with the leader.
- Benefits may include medical, dental, vision, life insurance, short- and long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance, parental leave, paid time off, and holidays.
- Eligible employees may participate in annual short-term and/or long-term incentive compensation programs; payments are not guaranteed.
- The role is based in the United States, and applicants may be required to attend selected interview steps in person.
- The application window is expected to remain open approximately 40 days from the posting date, subject to business needs.
About RTX Corporation
RTX Corporation builds aerospace and defense systems through its Collins Aerospace, Pratt & Whitney, and Raytheon businesses, serving commercial aviation, the U.S. government, and allied militaries. Its products range from aircraft engines and avionics to radars, missiles, and command-and-control software, sold via long-term OEM programs and defense contracts. Formed in 2020 by the Raytheon–United Technologies merger, RTX is headquartered in Arlington, Virginia and trades on the NYSE as RTX.