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Artificial Intelligence Machine Learning Engineer Jobs in Tucson, AZ

Senior Software Engineer I

Tucson, AZ

$115K - $152K/yr

Collaborate with researchers on artificial intelligence, machine learning, and computer vision ... Contribute programming ability and experience to develop solutions for real-world problems.

Machine Learning Tutor

Tucson, AZ · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Scientist

Tucson, AZ · On-site

$80K - $130K/yr

Experience with machine learning, deep learning, artificial intelligence, object classification ... Parallel programming experience (threads, MPI, CUDA, etc.) * Active Secret Clearance The salary ...

... data science, artificial intelligence, and machine learning to develop, apply, and interpret ... Expert-level programming skills in Python and/or R; proficiency with ML libraries (scikit-learn ...

... and artificial intelligence initiatives. The ideal candidate will bring expertise in data ... Incorporates machine learning (including large language models/LLMs) into scalable applications ...

AI Developer

Marana, AZ · On-site

$111K - $130K/yr

... and artificial intelligence initiatives. The ideal candidate will bring expertise in data ... Incorporates machine learning (including large language models/LLMs) into scalable applications ...

Showing results 21-40

Artificial Intelligence Machine Learning Engineer information

See Tucson, AZ salary details

$29.3K

$119.6K

$179.7K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for artificial intelligence machine learning engineer in Tucson, AZ is $119,569.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,200.00 and $143,900.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.
What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Tucson, AZ? For Artificial Intelligence Machine Learning Engineer jobs in Tucson, AZ, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Tucson, AZ look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Tucson, AZ are:
What cities near Tucson, AZ are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities near Tucson, AZ with the most Artificial Intelligence Machine Learning Engineer job openings:
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Tucson, AZ as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $119,569 per year, or $57.5 per hour.

Senior Software Engineer I

Rocket Lab

Tucson, AZ

$115K - $152K/yr

Full-time

Posted 22 days ago


Rocket Lab rating

9.2

Company rating: 9.2 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

4th of 72 rated aerospace companies


Job description

ABOUT ROCKET LAB

Rocket Lab is an end-to-end space company delivering responsive launch services, complete spacecraft design and manufacturing, payloads, satellite components, and more – all with the goal of opening access to space. The rockets and satellites we build and launch enable some of the most ambitious and vital space missions globally, supporting scientific exploration, Earth observation and missions to combat climate change, national security, and exciting new technology demonstrations.  

Our Electron rocket has become the second most frequently launched U.S. rocket annually and has delivered more than 230 satellites to orbit, all while we work to develop Neutron, our upcoming medium-lift, reusable launch vehicle for larger constellation deployment. Our Space Systems business designs and builds our extensive line of satellites, payloads, and their components, including spacecraft that have been selected to support NASA missions to the Moon and Mars and components used on the James Webb Space Telescope. 

SPACE SYSTEMS

At Rocket Lab, we’re not just launching rockets — we're building the future of space. Our Space Systems team builds everything from complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space, like solar panels, flight software, star trackers, optical systems, separation systems, radios, and more.

Our Space Systems team has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. The team has built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it’s a single high-performance spacecraft, constellation, or the vertically integrated components that help them get to space — our world class Space Systems team is empowering some of the boldest and most ambitious space missions.

SENIOR SOFTWARE ENGINEER I

Rocket Lab’s Optical Systems division solves mission-critical space domain and Intelligence, Surveillance, and Reconnaissance (ISR) challenges for Department of Defense (DoD) and Intelligence Community (IC) customers. Our vision is to revolutionize the space-based payload market with innovative and novel designs for space, terrestrial, and airborne environments. Building on more than 20 years of electro-optical and infrared systems innovation from Geost, Optical Systems delivers solutions to the warfighter for responsive, scalable sensing solutions across all orbital domains.

As a Senior Software Engineer I based at our Optical Systems sites in Tucson, AZ, you will have the opportunity to support Tranche 3 of the U.S. Space Development Agency's (SDA) Proliferated Warfighter Space Architecture (PWSA) by building deep learning neural networks for advanced Electro-Optical (EO/IR) technology.

WHAT YOU’LL GET TO DO

  • Collaborate with researchers on artificial intelligence, machine learning, and computer vision.
  • Preform rapid prototyping and enhanced development to be integrated into operational systems.
  • Contribute programming ability and experience to develop solutions for real-world problems.
  • Validate, tune, test, and deploy advanced neural networks and algorithms.
  • Perform troubleshooting, bug fixes, and maintenance of existing and new code to ensure stability.
  • Ability to support travel or off-site work, as needed

YOU’LL BRING THESE QUALIFICATIONS AS SENIOR SOFTWARE ENGINEER I:

  • Bachelor’s degree in physics, astronomy, mathematics, computer science, electrical engineering, mechanical engineering or equivalent discipline with 5+ years of experience
  • Experience in building deep learning neural network for computer vision, image processing, or video analysis
  • Ability to obtain and maintain an U.S. Government Security Clearance

THESE QUALIFICATIONS WOULD BE NICE TO HAVE: 

  • Proficiency in C++ or Python 3
  • Experience with deep learning libraries (PyTorch and TensorFlow)
  • Experience across the deep learning life cycle, including model selection, training, validation, testing, and deployment.
  • Understanding of computer vision approaches, such as object detection, image segmentation, re-Identification, tracking, and super resolution
  • Machine learning experience with 3-D data.
  • Experience curating quality, real-world datasets for training deep learning models

This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas.

WHAT TO EXPECT 

We’re on a mission to unlock the potential of space to improve life on Earth, but that’s not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work, and out-pace. We pride ourselves on having each other’s backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way.   

Important information:

FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY:

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Rocket Lab Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. Learn more about ITAR here.

Rocket Lab provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment at Rocket Lab, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Applicants requiring a reasonable accommodation for the application/interview process for a job in the United States should contact Giulia Johnson at g.biow@rocketlabusa.com.This dedicated resource is intended solely to assist job seekers with disabilities whose disability prevents them from being able to apply/interview. Only messages left for this purpose will be considered. A response to your request may take up to two business days.

FOR CANDIDATES SEEKING TO WORK IN NEW ZEALAND OFFICES ONLY:

For security reasons, background checks will be undertaken prior to any employment offers being made to an applicant.  These checks will include nationality checks as it is a requirement of this position that you be eligible to access equipment and data regulated by the United States' International Traffic in Arms Regulations. 

Under these Regulations, you may be ineligible for this role if you do not hold citizenship of Australia, Japan, New Zealand, Switzerland, the European Union, or a country that is part of NATO, or if you hold ineligible dual citizenship or nationality.  For more information on these Regulations, click here ITAR Regulations.


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