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Principle Engineer, Data Analytic Methods; Onsite

Job in Sterling, Loudoun County, Virginia, 22170, USA
Listing for: Prattwhitney
Full Time position
Listed on 2026-07-10
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, Computer Science, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 118300 - 224900 USD Yearly USD 118300.00 224900.00 YEAR
Job Description & How to Apply Below
Position: Principle Engineer, Data Analytic Methods (Onsite)

Responsibilities

  • Guide AI/ML development program to grow AI/ML skills in the engineering workforce.
  • Develop, oversee, and collaborate on intelligence, surveillance, and reconnaissance (ISR) methods across imagery, radar, and radio frequency data.
  • Apply statistical and AI/ML methods to ISR problems.
  • Develop models of payloads based on knowledge of radio‑frequency hardware and computer hardware (BSEE/Computer Engineering background desired).
  • Use academic credentials and experience in instruction of engineering or computer science topics to help develop and curate AI/ML training curriculum.
What You Will Learn
  • Grow object discrimination and probabilistic reasoning skills applied to data sets.
  • Learn about modeling observable phenomena such as radio emissions and link budgets to guide discrimination and identification approaches.
Qualifications
  • Typically requires a STEM degree and a minimum of 8 years of prior relevant experience, unless prohibited by local laws or regulations.
  • Experience with signal processing, stochastic methods, or probabilistic modeling.
  • AI/ML application experience in radio signal classification or similar.
  • Ability to obtain and maintain a U.S. government‑issued TS/SCI with Polygraph security clearance; U.S. citizenship required.
  • Preferred: curriculum development experience (academic or industry).
  • Preferred: programming language experience in Python, C++, and Java.
  • Preferred: high‑performance computing expertise.
  • Preferred: advanced degree (Master’s or Ph.D.).
  • Preferred: demonstrated academic instruction background (lecturer or graduate teaching assistant).
Salary

Salary range: 118,300

USD – 224,900

USD.

Benefits

Eligible employees may receive medical, dental, vision, life insurance, short‑term and long‑term disability, 401(k) match, flexible spending accounts, and other benefits as determined by the business unit.

Equal Opportunity Employer

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.

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