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Machine Learning Software Engineer Jobs in Arizona

Intuitive Machines LLC

Research Software Engineer

Phoenix, AZ · On-site

$203K/yr

Research Software Engineer Phoenix, AZ About Intuitive Machines Intuitive Machines is an innovative ... Strong problem-solving, analytical and learning skills. * Understanding of the Software Development ...

Atos

SOFTWARE ENGINEER

Phoenix, AZ · On-site

... Engineer. You will design, build, and deploy AI-powered software solutions. You will blend ... Design and maintain data pipelines for machine learning model training and inference. Architecture ...

Honeywell

Sr. Advanced AI Software Engineer

Phoenix, AZ

$121K - $160K/yr

Core AI / Machine Learning * Deep expertise in : Machine learning fundamentals (supervised ... Programming & Software Engineering: Strong proficiency in Python (primary AI development language ...

Honeywell

Sr. Advanced AI Software Engineer

Phoenix, AZ · On-site

$115K - $152K/yr

Core AI / Machine Learning * Deep expertise in : Machine learning fundamentals (supervised ... Programming & Software Engineering: Strong proficiency in Python (primary AI development language ...

Honeywell

Sr. Advanced AI Software Engineer

Phoenix, AZ

$121K - $160K/yr

Core AI / Machine Learning * Deep expertise in : Machine learning fundamentals (supervised ... Programming & Software Engineering: Strong proficiency in Python (primary AI development language ...

IntraEdge

Gen AI Engineer II

Phoenix, AZ · On-site

$97K - $133K/yr

We are seeking a skilled and innovative Software Engineer to leverage GitHub Copilot and Generative ... Knowledge of machine learning concepts and frameworks. * Familiarity with secure coding practices ...

Varsity Tutors

Machine Learning Tutor

Phoenix, 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 ...

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All JobsMachine Learning Software Engineer JobsMachine Learning Software Engineer Jobs in Arizona

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 Arizona? For Machine Learning Software Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Machine Learning Software Engineer jobs in Arizona look for? The top searched job categories for Machine Learning Software Engineer jobs in Arizona are:
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:
Machine Learning Software Engineer jobs near you
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.
Research Software Engineer

Research Software Engineer

Intuitive Machines LLC

Phoenix, AZ • On-site

$203K/yr

Full-time

Re-posted 14 days ago

Job description

Research Software Engineer

Phoenix, AZ


About Intuitive Machines

Intuitive Machines is an innovative and cutting-edge space company making cislunar space accessible to both public and private customers. Our mission is to further science and exploration, communications, and economic progress from the Earth to the Moon and beyond. With the first commercial lunar landing in history, multiple NASA lunar missions in development, and additional private missions on our manifest, we pride ourselves in supporting our customers and the nation in paving the way to return humans to the surface of the Moon. Our world-class team includes experts in all aspects of lunar science and data processing, spacecraft subsystems design, development, and test, on-orbit operations, and safety.

Responsibilities:

  • Develop software in support of operating multiple remote sensing instruments.
  • Develop software to process received remote sensing data for various research and archival purposes.
  • Create and execute software test plans for this software including both unit and functional testing.
  • Interface with published APIs of other software.
  • Collaborate with scientists and engineers to create tools for data visualization, analysis, reduction, and archiving.
  • Build understanding of research activities and goals to better serve the advancement of knowledge within relevant research domains.
  • Create and maintain documentation for software tools and workflows.
  • Participate in code reviews and contribute to best practices for software development.
  • Support the integration and testing of software.

Qualifications: 

  • Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience.
  • 2+ years of relevant professional experience or equivalent experience.
  • Experience with programming languages such as C++,Ruby, Python, and IDL.
  • Project and time management skills.
  • Knowledge of data structures and algorithms.
  • Strong problem-solving, analytical and learning skills.
  • Understanding of the Software Development Lifecycle (SDLC).
  • Understanding of coding standards and testing ideologies.
  • Proficiency in Linux/Unix and MacOS environments.
  • Proficiency using software version control such as Subversion or Git.
  • Keen interest in and ability to follow and contribute to emerging research in planetary science and related fields.
  • Ability to work both independently and as part of a team.

Desired Qualifications:

  • Experience with relational databases, database management, and SQL.
  • Experience with GIS techniques such as map projection.
  • Experience with mathematical concepts such as frame/point rotation, coordinate transformation, and statistical analysis.
  • Experience with agile development methodologies.
  • Strong technical and research writing skills.
  • Experience with concurrent and parallel programming techniques.
  • Knowledge of planetary science or remote sensing.

US EEO Statement

Intuitive Machines is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.