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Reinforcement Learning Jobs in Arizona (NOW HIRING)

Honeywell

Sr. Advanced AI Software Engineer

Phoenix, AZ

$121K - $160K/yr

Machine learning fundamentals (supervised, unsupervised, reinforcement learning). Deep learning architectures (CNNs, RNNs, Transformers) * Hands-on experience with: Large Language Models (LLMs) and ...

Jj

Learning Experience Lead

Phoenix, AZ

Create clear, actionable communication materials (announcements, job aids, leader talking points, reinforcement messaging) to support learning initiatives * Identifyandleveragemultiple communication ...

Honeywell

Sr. Advanced AI Software Engineer

Phoenix, AZ · On-site

$121K - $160K/yr

Machine learning fundamentals (supervised, unsupervised, reinforcement learning). Deep learning architectures (CNNs, RNNs, Transformers) * Hands-on experience with: Large Language Models (LLMs) and ...

Honeywell

Sr. Advanced AI Software Engineer

Phoenix, AZ

$121K - $160K/yr

Machine learning fundamentals (supervised, unsupervised, reinforcement learning). Deep learning architectures (CNNs, RNNs, Transformers) * Hands-on experience with: Large Language Models (LLMs) and ...

TSMC

Senior Agent AI Engineer

Phoenix, AZ

$103K - $142K/yr

Experience in reinforcement learning (RL) and decision-making frameworks. * Familiarity with cognitive architectures or symbolic reasoning for agent systems. Work Environment: Candidates must be ...

TSMC

Senior Agent AI Engineer

Phoenix, AZ · On-site

$128K - $176K/yr

Experience in reinforcement learning (RL) and decision-making frameworks. * Familiarity with cognitive architectures or symbolic reasoning for agent systems. Work Environment: Candidates must be ...

TSMC

Senior AI Model Fine-Tuning Engineer

Phoenix, AZ

$128K - $176K/yr

Apply Reinforcement Learning from Human Feedback (RLHF) and other behavioral fine-tuning methods to improve the model's alignment with user needs and ethical standards. * Collaborate with data teams ...

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Reinforcement Learning information

See Arizona salary details

$26.6K

$54.4K

$74.6K

How much do reinforcement learning jobs pay per year?

As of Jun 23, 2026, the average yearly pay for reinforcement learning in Arizona is $54,372.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,100.00 and $63,400.00 per year, depending on experience, location, and employer.

What are the common responsibilities of a Reinforcement Learning professional on a daily basis?

A typical day for a Reinforcement Learning professional involves designing and implementing learning algorithms, running experiments, analyzing data, and iterating on models to improve performance. You might collaborate closely with data scientists, software engineers, and product managers to integrate your solutions into broader systems or products. Regular activities also include reading recent research literature and participating in team meetings to discuss progress and obstacles. This dynamic role often balances deep technical work with teamwork to drive innovative applications in areas such as robotics, recommendation systems, or autonomous systems.

Who earns more, AI or ML engineer?

Reinforcement Learning engineers, a specialized subset of AI and ML engineers, tend to earn higher salaries due to their advanced skills in developing algorithms for decision-making systems. Overall, AI engineers generally have higher average salaries than ML engineers, but salaries vary based on experience, location, and industry. Both roles require strong programming skills and knowledge of machine learning frameworks.

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

To thrive in a Reinforcement Learning role, you need a solid background in mathematics, statistics, machine learning, and programming (commonly with Python), typically supported by a relevant degree such as in computer science or engineering. Experience with frameworks like TensorFlow, PyTorch, OpenAI Gym, and familiarity with large-scale computing systems are highly valued. Strong problem-solving abilities, curiosity, and effective collaboration and communication skills help you excel in multidisciplinary research and project teams. These capabilities are crucial for designing, implementing, and refining complex algorithms that learn from interaction to solve real-world problems.

What engineers make $500,000?

Senior reinforcement learning engineers with extensive experience, advanced skills in machine learning frameworks, and a strong track record in deploying AI systems can earn salaries approaching or exceeding $500,000, especially in high-cost-of-living areas or within leading tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their specialized expertise and impact on product development.

Which 5 jobs will survive AI?

Reinforcement Learning specialists, data scientists, AI researchers, software engineers, and cybersecurity analysts are likely to continue thriving as AI advances, due to their expertise in developing, managing, and securing AI systems. These roles require advanced technical skills, problem-solving abilities, and ongoing learning to adapt to evolving technologies.

What is a Reinforcement Learning job?

A Reinforcement Learning (RL) job involves designing, developing, and optimizing algorithms that enable machines to learn from interactions with their environment. RL professionals work on applications in robotics, finance, gaming, and autonomous systems, leveraging techniques like deep reinforcement learning and policy optimization. Responsibilities often include researching new models, implementing RL algorithms, and improving AI performance. Strong programming skills, knowledge of machine learning frameworks, and an understanding of mathematical concepts like probability and optimization are essential.

Which 3 jobs will survive AI?

Reinforcement Learning specialists, data scientists, and AI ethics professionals are likely to remain in demand as AI advances, due to their specialized skills in developing, managing, and overseeing AI systems. These roles require advanced knowledge of algorithms, programming, and ethical considerations, making them less susceptible to automation. Continuous learning and expertise in AI tools and frameworks help ensure job security in this evolving field.
What are the most commonly searched types of Reinforcement Learning jobs in Arizona? The most popular types of Reinforcement Learning jobs in Arizona are:
What are popular job titles related to Reinforcement Learning jobs in Arizona? For Reinforcement Learning jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Reinforcement Learning jobs in Arizona look for? The top searched job categories for Reinforcement Learning jobs in Arizona are:
What cities in Arizona are hiring for Reinforcement Learning jobs? Cities in Arizona with the most Reinforcement Learning job openings:
Reinforcement Learning jobs near you
AI/ML Engineer - Computer Vision with Security Clearance

AI/ML Engineer - Computer Vision with Security Clearance

Prime Solutions Group, Inc

Goodyear, AZ • On-site

$111K - $133K/yr

Other

Posted 19 days ago

Job description

Prime Solutions Group (PSG), Inc. is an innovative digital engineering company founded in 2007 and headquartered in Goodyear, AZ. We specialize in advanced sensing, AI/ML, and digital engineering solutions, partnering with many of the nation’s leading defense companies to deliver mission-critical technology. Our work spans the full system lifecycle—from R&D to operational deployment—supporting the Department of Defense, Intelligence Community, and federal partners. At PSG, you’ll join a small, agile, and highly skilled team where your expertise has a direct impact. You’ll collaborate with some of the largest and most respected defense organizations while shaping next-generation technology. Position Description:
Develop AI-Powered Computer Vision Solutions for Real-World Mission Applications
Prime Solutions Group (PSG), Inc. is seeking an experienced AI/ML Computer Vision Engineer to design, develop, and deploy advanced computer vision and machine learning solutions supporting mission-critical national security programs. In this role, you will work at the forefront of artificial intelligence, applying state-of-the-art deep learning techniques to challenging real-world problems involving image, video, and sensor data. You will be responsible for developing and optimizing machine learning models, conducting experimentation, improving model performance, and transitioning AI capabilities into operational environments. This position is ideal for engineers who enjoy solving complex technical challenges, working with large-scale datasets, and turning cutting-edge research into production-ready solutions. Responsibilities include: • Design, develop, train, and deploy machine learning and computer vision models for real-world mission applications.
• Build and optimize deep learning architectures, including CNNs, Vision Transformers (ViTs), and hybrid AI/ML models.
• Perform hyperparameter tuning, model optimization, and performance evaluation to improve accuracy, robustness, and efficiency.
• Develop and maintain training, validation, testing, and inference pipelines for AI/ML systems.
• Analyze model performance, identify failure modes, and implement improvements to increase reliability and generalization.
• Work with large image, video, and sensor datasets to support object detection, classification, segmentation, tracking, and anomaly detection tasks.
• Collaborate with software engineers and MLOps teams to integrate models into production environments.
• Evaluate emerging AI technologies and recommend new approaches that improve mission outcomes.
• Create technical documentation, experiment reports, and performance assessments.
• Support technical reviews, customer briefings, and cross-functional engineering efforts. Requirements:
• U.S. Citizenship
• Active Top-Secret Clearance with eligibility to obtain an SCI with CI Poly
• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Applied Mathematics, or a related technical field.
• 4+ years of experience developing AI/ML solutions in production, research, or applied engineering environments.
• Proven experience delivering models using Python and ML frameworks (TensorFlow, PyTorch, Keras, etc.).
• Experience training and evaluating machine learning models using large datasets. • Experience developing and training computer vision models using deep learning techniques.
• Familiarity with CNNs, Vision Transformers, object detection, classification, and segmentation.
• Experience with model tuning, hyperparameter optimization, and performance evaluation.
• Strong understanding of computer vision fundamentals and image analysis techniques.
• Ability to improve model accuracy, robustness, and operational performance.
• Familiarity with software engineering best practices, Git, and collaborative development workflows. Preferred skills or experience:
• Experience with generative AI technologies, including diffusion models and image generation systems.
• Familiarity with Vision-Language Models (VLMs), multimodal AI, Large Vision Models (LVMs), and Retrieval-Augmented Generation (RAG).
• Experience with object tracking, multi-object tracking, or video analytics.
• Experience applying computer vision techniques to imagery, remote sensing, or sensor-based data.
• Familiarity with reinforcement learning or autonomous systems.
• Experience with MLOps tools and practices, including Docker, Kubernetes, MLflow, Airflow, and CI/CD pipelines.
• Experience deploying AI/ML solutions in AWS, Azure, or Google Cloud environments.
• Experience supporting defense, intelligence, aerospace, or other mission-critical programs. Why Join PSG?
At PSG, you'll work on challenging AI problems that directly support national security missions. You'll have the opportunity to collaborate with highly skilled engineers and researchers while helping shape the next generation of intelligent sensing, computer vision, and AI-enabled systems.
We offer:
• Competitive compensation and benefits
• Professional development and tuition assistance
• Flexible and collaborative engineering culture
• Exposure to cutting-edge AI/ML technologies
• Direct impact on mission-critical programs
• Opportunities to grow into technical leadership roles Bring your passion for AI, computer vision, and machine learning to PSG and help build the next generation of intelligent mission 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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