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Staff Machine Learning Engineer Jobs in Arizona (NOW HIRING)

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AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr

... Machine Learning and Generative AI frameworks • Strong engineering fundamentals and problem-solving skills • A builder mindset -- curious, resourceful, fast-moving, and focused on outcomes ...

Programmers.io

AI/ML Engineer

Scottsdale, AZ · On-site

Google Cloud Professional Machine Learning Engineer Google Cloud Professional Data Engineer AWS Certified Machine Learning Specialty Certified Kubernetes Admin(CKA) Google Professional Cloud ...

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All JobsStaff Machine Learning Engineer JobsStaff Machine Learning Engineer Jobs in Arizona

Staff Machine Learning Engineer information

See Arizona salary details

$21.4K

$92.6K

$179.4K

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

As of Jul 14, 2026, the average yearly pay for staff machine learning engineer in Arizona is $92,564.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,300.00 and $116,500.00 per year, depending on experience, location, and employer.

What does a staff ML engineer do?

A staff machine learning engineer leads the design, development, and deployment of complex machine learning models and systems. They often mentor team members, collaborate with cross-functional teams, and ensure scalable, efficient solutions using tools like Python, TensorFlow, or PyTorch. This role typically requires advanced knowledge of algorithms, data structures, and production environment considerations.

What are the typical collaboration and leadership responsibilities for a Staff Machine Learning Engineer?

As a Staff Machine Learning Engineer, you often serve as a technical leader, partnering with cross-functional teams including data scientists, product managers, and software engineers to develop and deploy machine learning solutions. You will mentor junior engineers, conduct code reviews, and help establish best practices for model development and deployment. In addition to hands-on technical work, you may be responsible for evaluating new tools, contributing to the broader ML strategy, and facilitating knowledge sharing sessions. This collaborative and leadership-focused approach helps ensure consistency, quality, and innovation across machine learning projects.

What engineer makes $500,000 a year?

Senior staff machine learning engineers at large tech companies or specialized AI firms can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require advanced skills in deep learning, data engineering, and experience with cloud platforms, along with a strong track record of impactful projects.

Will MLE be replaced by AI?

Staff Machine Learning Engineers design, develop, and deploy AI models, and their role involves understanding complex algorithms and data systems. While AI automation can handle certain tasks, MLEs are essential for creating, tuning, and maintaining AI systems, making complete replacement unlikely in the near term. Continuous learning and expertise in tools like Python, TensorFlow, or PyTorch are important for the role.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI research director, often involving advanced skills in deep learning, data science, and software engineering. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities, with compensation reflecting the seniority and impact of the role.

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

To thrive as a Staff Machine Learning Engineer, you need deep expertise in machine learning algorithms, software engineering, data analysis, and typically a strong academic background in computer science or related fields. Experience with Python, TensorFlow, PyTorch, cloud platforms, and a track record of delivering production-level ML systems are crucial, as are advanced degrees or relevant certifications. Strong leadership, communication, and mentoring skills help you effectively guide teams and collaborate across departments. These competencies are essential for designing robust ML solutions, leading technical initiatives, and ensuring successful project delivery in complex organizational environments.

What is a Staff Machine Learning Engineer job?

A Staff Machine Learning Engineer is a senior-level technical role responsible for designing, deploying, and optimizing machine learning models at scale. They provide technical leadership, mentor other engineers, and drive best practices in ML system architecture. This role often involves collaborating with cross-functional teams, improving model performance, and ensuring the reliability of machine learning solutions in production. Staff ML Engineers typically have deep expertise in algorithms, data infrastructure, and engineering processes. Their work focuses on solving complex problems and influencing the broader ML strategy within an organization.

What are the most commonly searched types of Staff Machine Learning Engineer jobs in Arizona? The most popular types of Staff Machine Learning Engineer jobs in Arizona are:
What are popular job titles related to Staff Machine Learning Engineer jobs in Arizona? For Staff Machine Learning Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Staff Machine Learning Engineer jobs in Arizona look for? The top searched job categories for Staff Machine Learning Engineer jobs in Arizona are:
Staff Machine Learning Engineer jobs near you
Infographic showing various Staff Machine Learning Engineer job openings in Arizona as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $92,564 per year, or $44.5 per hour.
Machine Learning Engineer with Security Clearance

Machine Learning Engineer with Security Clearance

Prime Solutions Group, Inc

Goodyear, AZ • On-site

$110K/yr

Other

Posted 9 hours ago

Job description

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 production—developing 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 job—you’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 Bring your machine learning expertise to PSG and help deliver the next generation of secure, intelligent, mission-driven systems. Salary Description
Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs.

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