Machine Learning Engineer

Job TitlePratt & 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 Will You DoWork with the AI/ML team to develop and apply novel machine learning frameworks and methodologies supporting the design and evaluation of turbine components for the Hot Section Engineering organization.Communicate technical solutions and insights to internal/external customers and organization leadership.Design, build, test, deploy, and monitor machine learning models for physics-based simulations, fleet analytics, and component design.Collaborate across RTX AI/ML teams to strengthen the corporate level AI/ML initiatives and infrastructure.Qualifications You Must HaveBachelor's degree in Science, Technology, Engineering or Mathematics (STEM).2+ years of engineering experience or an advanced degree with 1+ years of experience.Qualifications We PreferFamiliarity with high-performance distributed computing.Knowledge of state-of-the-art architecture, machine learning techniques, and algorithms with experience developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow, JAX).Experience with solving and using machine learning for real world problems involving scientific & engineering simulations (e.g., structural, CFD, thermal).Strong Python programming skills and SQL proficiencyWhat We Offer:BenefitsRelocation AssistanceHot Section Engineering (HSE)Hot Section Engineering is responsible for the design, development, technology maturation and in service support of all diffuser cases, combustors, turbines (vanes, blades, rotors and cases), augmenters (military), nozzles and associated fuel systems for all military, commercial and industrial engine models and radial auxiliary power units.Technical disciplines in HSE include Project Engineering, Mechanical Design, Structural Analysis, Durability and Product Definition.The salary range for this role is 68,900 USD - 131,100 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.