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Entry Level Machine Learning Engineer Jobs in Tucson, AZ

Software Engineer II

Tucson, AZ · On-site

$94K - $128K/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

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

Tucson, AZ · On-site

$94K - $128K/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 ...

Python Tutor

Tucson, AZ · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Software Engineer II (Hiring Immediately)

Tucson, AZ · On-site

$83K - $114K/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 (Hiring Immediately)

Tucson, AZ · On-site

$83K - $114K/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 ...

Interpret blueprints and understand entry-level GD&T. Job/Trade Specific * Machine Maintenance ... Set-Up Notes: Apply set-up notes and make programming adjustments/updates. * Tolerances: Hold ...

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Showing results 1-20

Entry Level Machine Learning Engineer information

See Tucson, AZ salary details

$28.9K

$66.9K

$113.8K

How much do entry level machine learning engineer jobs pay per year?

As of Jun 23, 2026, the average yearly pay for entry level machine learning engineer in Tucson, AZ is $66,898.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,700.00 and $75,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Tucson, AZ? The most popular types of Machine Learning Engineer jobs in Tucson, AZ are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Tucson, AZ? For Entry Level Machine Learning Engineer jobs in Tucson, AZ, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Tucson, AZ look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Tucson, AZ are:
What cities near Tucson, AZ are hiring for Entry Level Machine Learning Engineer jobs? Cities near Tucson, AZ with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in Tucson, AZ as of June 2026, with employment types broken down into 11% Internship, 72% Full Time, 11% Part Time, and 6% Temporary. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $66,898 per year, or $32.2 per hour.
Software Engineer II

Software Engineer II

Raytheon

Tucson, AZ • On-site

$94K - $128K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Raytheon rating

9.1

Company rating: 9.1 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

3rd of 519 rated manufacturers


Job description

Date Posted:

2026-05-22

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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