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Machine learning engineer • tucson az
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Date Posted : 2025-06-09
Country :
United States of America
Location :
AZ201 : RMS AP Bldg 801 1151 East Hermans Road Building 801, Tucson, AZ, 85756 USA
Position Role Type : Onsite
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 : None / Not Required
At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.
- Starting Pay Rate : $20.50
What You Will Do
Qualifications You Must Have
Or ALL of the following :
What We Offer
Union Specific Information : This position is part of a collective bargaining agreement. Wage and workplace conditions, including shift times, are subject to this agreement. Individuals hired into this position will be represented by a union.
Clearance Information : This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here :
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.