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Machine Learning Software Engineer Jobs in Arizona

Black Rock Group

Machine Learning Engineer

Phoenix, AZ

$55.25 - $73.25/hr

Machine Learning Engineer Location: Phoenix, AZ (Onsite) Required Skills Machine Learning, Python ... and software architecture Advanced Python programming experience; Java knowledge is a plus ...

Indeed

Machine Learning Engineer III

Scottsdale, AZ · On-site

Mentor and grow other software engineers and Machine Learning Engineers across teams * Break down larger Machine Learning initiatives into pieces that deliver incremental business value and guide the ...

Indeed

Staff Machine Learning Engineer

Scottsdale, AZ · On-site

Mentor and grow other software engineers and Machine Learning Engineers across teams * Break down larger Machine Learning initiatives into pieces that deliver incremental business value and guide the ...

Infinia Search Inc

Be Seen First

Applied Machine Learning Engineer

Chandler, AZ · On-site

$60 - $95/hr

As an Applied Machine Learning Engineer, you will support informed decision-making around the ... The position is onsite in Chandler, AZ and works closely with software, infrastructure, simulation ...

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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 May 28, 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.
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Machine Learning Software Engineer jobs near you
Infographic showing various Machine Learning Software Engineer job openings in Arizona as of May 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 78% Physical, 11% Hybrid, and 11% Remote job distribution, with an average salary of $137,475 per year, or $66.1 per hour.
Machine Learning Engineer Jobs

Machine Learning Engineer Jobs

ClearanceJobs

Goodyear, AZ • On-site

$110K/yr

Full-time

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

Job description

Machine Learning Engineer

Turn machine learning into real-world mission capability. PSG is seeking a Machine Learning Engineer to design, build, and deploy AI/ML solutions that power mission-critical systems. This role focuses on taking models from concept to productiondeveloping pipelines, integrating models into software systems, and ensuring performance, scalability, and reliability in real-world environments. You'll work at the intersection of machine learning, software engineering, and DevSecOps, collaborating with cross-functional teams to deliver secure, production-ready AI solutions supporting national security missions.

What You'll Do:

  • Design, build, and maintain ML pipelines for data preparation, training, evaluation, and deployment
  • Develop and optimize ML models and applications using Python and frameworks like PyTorch or TensorFlow
  • Integrate models into production systems (APIs, batch pipelines, real-time services)
  • Implement model validation, evaluation metrics, and performance monitoring
  • Improve model accuracy, scalability, and efficiency through tuning and data strategy improvements
  • Collaborate with data engineers and domain experts to prepare and validate datasets
  • Partner with DevSecOps/MLOps teams to deploy ML solutions in secure environments
  • Troubleshoot model and pipeline issues; perform root cause analysis and optimization
  • Contribute to technical documentation, test plans, and operational runbooks
  • Participate in design reviews, architecture discussions, and Agile development processes
  • Mentor junior engineers and promote engineering best practices

Requirements:

  • U.S. Citizenship
  • Active Top Secret Clearance (SCI eligibility; CI Poly preferred or ability to obtain)
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field
  • 4+ years of experience in:
    • Machine Learning Engineering
    • Applied AI/ML development
    • Production ML systems
  • Strong Python skills and experience with ML libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow)
  • Experience developing, training, and deploying ML models in real-world applications
  • Solid understanding of the ML lifecycle (data > training > validation > deployment > monitoring)
  • Experience building maintainable, production-quality software
  • Familiarity with Docker and cloud environments (AWS, Azure, or GCP)
  • Experience working in Agile and CI/CD environments
  • Strong problem-solving, communication, and collaboration skills

Preferred Qualifications:

  • Master's degree in a related field
  • Experience with computer vision, image/video analytics, or sensor data (e.g., RF, SAR)
  • Experience transitioning models from research to production environments
  • Familiarity with experiment tracking, model versioning, and reproducibility practices
  • Experience with GPU-based ML workflows and cloud ML platforms
  • Background in defense, intelligence, or other regulated environments

Why Join PSG? At PSG, you're not just taking a jobyou're building technology that matters.

Competitive compensation & benefits

9/80 flexible work schedule

Professional development & tuition assistance

Small, agile team with high ownership and visibility

Work on mission-critical systems supporting national security

Opportunities to grow across AI/ML, software engineering, and platform development

Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs.

Apply