1

Machine Learning Software Engineer Jobs in Arizona

Senior Software Engineer I

Tucson, AZ · On-site

$115K - $152K/yr

Collaborate with researchers on artificial intelligence, machine learning, and computer vision ... SOFTWARE ENGINEER I: * Bachelor's degree in physics, astronomy, mathematics, computer science ...

New

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Epic Lab Software Engineer

Chandler, AZ · On-site

$132K - $181K/yr

As a Software Engineer at Applied Materials, you'll dive deep into ground-breaking technologies-like machine learning and AI-to craft novel software solutions that solve our customers' high-value ...

Design, develop, and enhance software tools and automation solutions that support engineering ... Experience with machine learning systems, including model training, evaluation, inference, and use ...

next page

Showing results 1-20

Machine Learning Software Engineer information

See Arizona salary details

$59.2K

$137.5K

$191.5K

How much do machine learning software engineer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for machine learning software engineer in Arizona is $137,475.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $161,200.00 per year, depending on experience, location, and employer.

What does a Machine Learning Software Engineer do?

A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.

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

To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.

What are the day-to-day responsibilities of a Machine Learning Software Engineer?

As a Machine Learning Software Engineer, your daily tasks typically include developing and optimizing machine learning models, collaborating with data scientists and product teams to define requirements, and integrating models into production systems. You’ll work extensively with large datasets to preprocess, analyze, and validate data, as well as monitor model performance and iterate on solutions when needed. It's common to participate in code reviews, contribute to architectural decisions, and maintain documentation for reproducibility and knowledge sharing. This role offers a dynamic and intellectually stimulating environment, making it ideal for those who enjoy solving complex technical problems and working at the intersection of engineering and data science.

What are popular job titles related to Machine Learning Software Engineer jobs in AZ? For Machine Learning Software Engineer jobs in AZ, the most frequently searched job titles are:
Infographic showing various Machine Learning Software Engineer job openings in Arizona as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $137,475 per year, or $66.1 per hour.
Senior Software Engineer I

Senior Software Engineer I

Rocket Lab Corporation

Tucson, AZ

$115K - $152K/yr

Full-time

Posted 6 days ago

New


Rocket Lab rating

8.8

Company rating: 8.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

8th of 61 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.


What Rocket Lab employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom