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Machine Learning Software Engineer Intern Jobs in Tucson, AZ

Software Engineer II

Tucson, AZ · On-site

$92K - $126K/yr

Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative ...

Software Engineer II

Tucson, AZ

$92K - $126K/yr

Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative ...

Software Engineer II with Security Clearance

Tucson, AZ · On-site

$90K - $124K/yr

Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative ...

Software Engineer II with Security Clearance

Tucson, AZ · On-site

$90K - $124K/yr

Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative ...

As an Automation Engineering Intern at Cytiva (a Danaher company), you would help improve our ... Troubleshooting system and software issues Collaborating with cross-functional teams on ...

Mid-Level Software Engineer

Tucson, AZ · On-site

$87K - $157K/yr

If you're passionate about solving complex technical challenges, learning emerging technologies ... Bachelor's degree in Computer Science, Software Engineering, or related field and 4-8 years of ...

If you're passionate about solving complex technical challenges, learning emerging technologies ... Bachelor's degree in Computer Science, Software Engineering, or related field and 4-8 years of ...

DSP Software Engineer Tucson, AZ Applications will be accepted on an ongoing basis. ICR is seeking ... learning about and applying new technologies, and has a sense of ownership about his or her work ...

The successful candidate will join a staff of signal/image processing scientists and software ... computer vision, machine learning, physics-based modeling, data analysis, and sensor ...

The successful candidate will join a staff of signal/image processing scientists and software ... computer vision, machine learning, physics-based modeling, data analysis, and sensor ...

The successful candidate will join a staff of signal/image processing scientists and software ... computer vision, machine learning, physics-based modeling, data analysis, and sensor ...

The successful candidate will join a staff of signal/image processing scientists and software ... computer vision, machine learning, physics-based modeling, data analysis, and sensor ...

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Machine Learning Software Engineer Intern information

See Tucson, AZ salary details

$12

$24

$36

How much do machine learning software engineer intern jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for machine learning software engineer intern in Tucson, AZ is $24.03, according to ZipRecruiter salary data. Most workers in this role earn between $19.57 and $27.26 per hour, depending on experience, location, and employer.

What does a Machine Learning Software Engineer Intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.

What are the key skills and qualifications needed to thrive as a Machine Learning Software Engineer Intern, and why are they important?

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

What types of projects and responsibilities can a Machine Learning Software Engineer Intern expect during their internship?

As a Machine Learning Software Engineer Intern, you can expect to work on projects that involve data preprocessing, model development, and evaluation under the guidance of experienced engineers and data scientists. Interns often contribute to building and optimizing machine learning pipelines, implementing algorithms, and supporting the deployment of models into production environments. Collaboration is key; you'll likely work closely with cross-functional teams, including product managers and software developers, to ensure your solutions align with business goals. The internship is a great opportunity to gain hands-on experience with industry-standard tools and frameworks while receiving mentorship and feedback to help advance your technical skills.
What are the most commonly searched types of Machine Learning Software Engineer jobs in Tucson, AZ? The most popular types of Machine Learning Software Engineer jobs in Tucson, AZ are:
Infographic showing various Machine Learning Software Engineer Intern job openings in Tucson, AZ as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $49,984 per year, or $24 per hour.
Software Engineer II

Software Engineer II

Raytheon Technologies

Tucson, AZ • On-site

$92K - $126K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Job description

Date Posted:
2026-07-07
Country:
United States of America
Location:
US-AZ-TUCSON-805 ~ 1151 E Hermans Rd ~ BLDG 805
Position Role Type:
Onsite
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Security Clearance Type:
Secret - Current
Security Clearance Status:
Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date
We're growing fast and we want you to grow with us! We're expanding our engineering organization dramatically to meet exciting customer demand, and we're actively looking for engineers who bring strong foundational skills and a passion for solving hard problems. Industry experience in defense? Not required - we'll invest in you. If you meet the minimum qualifications, we want to talk. Apply today and take the next step in your engineering career.
At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.
Raytheon brings 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. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense.
At Raytheon's Software Engineering Directorate (SWE) Effectors Center (EC), we deliver innovative, mission-driven solutions to secure our nation. Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem solvers to develop next-generation capabilities and advance your skills while protecting our country.
This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ.
What You Will Do
  • Assist and participate in the requirements, design, development and testing of real-time embedded software, application software, and tools, to include development of new work products or enhancement of existing applications and systems.
  • Design, code, test, integrate, and document software solutions.
  • Participate in internal review of software components and systems.
  • Collaborate with project managers and other professionals within Engineering.
  • Work on problems with defined scope, schedule, and expectations.
  • Follow established development practices and processes to maintain the configuration management of software products.
  • Ability to obtain program access required.

What You Will Learn
  • Use new tools that will keep you state-of-the-art.
  • Stay updated with the latest advancements in software development and missile technology to drive innovation.

Qualifications You Must Have
  • Typically requires a degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of two years prior relevant experience.
  • Experience with C++, C, or other object-oriented language.
  • Experience with hardware-software integration and embedded system testing.
  • Ability to obtain Interim Secret Level U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Qualifications We Prefer
  • Knowledge of data structures and algorithms, systems software design, operating systems and architectures.
  • Knowledge of assembly, C/C++ programming, structured programming concepts.
  • Knowledge of object-oriented design and Unified Model Language.
  • Knowledge of statistical and numerical methods.
  • Interpersonal and communication skills, both verbal and written.
  • Demonstrated ability to work effectively with colleagues and leaders in a team environment.

What We Offer
  • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.
  • Relocation Offered Based On Eligibility

Learn More & Apply Now!
Please consider the following role type definition as you apply for this role:
  • Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

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: https://www.state.gov/m/ds/clearances/c10978.htm
Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round.
Virtual Fly Over City of Tucson & Community, YouTube Video Links
  • "Raytheon In Tucson": https://careers.rtx.com/global/en/raytheon-tucson,-az-location
  • "Tucson is Awesome": https://www.youtube.com/watch?v=i65wOwKcNIQ
  • "Winter in Tucson": https://www.youtube.com/watch?v=yZdKKkF0QkE

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
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.
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