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Reinforcement Learning Jobs in Arizona (NOW HIRING)

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

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

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

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

Sr. Advanced AI Software Engineer

Tempe, AZ

$117K - $154K/yr

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

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

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

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

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

Sr. Advanced AI Software Engineer

Phoenix, AZ · On-site

$115K - $152K/yr

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

Sr. Advanced AI Software Engineer

Peoria, AZ

$120K - $158K/yr

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

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

Sr. Advanced AI Software Engineer

Tempe, AZ

$119K - $157K/yr

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

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 ...

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 ...

Showing results 41-60

Reinforcement Learning information

See Arizona salary details

$26.6K

$54.4K

$74.6K

How much do reinforcement learning jobs pay per year?

As of Aug 7, 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 does a reinforcement learning professional do?

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.

What are the key skills and qualifications needed to thrive in the reinforcement learning position?

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 is a reinforcement learning?

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.

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 cities in Arizona are hiring for Reinforcement Learning jobs? Cities in Arizona with the most Reinforcement Learning job openings:
Infographic showing various Reinforcement Learning job openings in Arizona as of August 2026, with employment types broken down into 63% Full Time, 28% Part Time, and 9% Contract. Highlights an 100% In-person job distribution, with an average salary of $54,372 per year, or $26.1 per hour.

Sr. Advanced AI Software Engineer

Honeywell

Glendale, AZ

$121K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago


Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

67th of 536 rated manufacturers


Job description

Job Description
Honeywell is seeking a Sr. Advanced AI Software Engineer to join our team! In this role, you will lead the strategic vision and roadmap while driving performance, reliability, and quality across our software products to support scalable business growth.
You will report directly to our Director of Engineering, and you'll work out of our Phoenix, Arizona location on a hybrid work schedule. Note: for the first 90 days, new hires must be prepared to work onsite 100% M-F.
Responsibilities
  • Design, build, and deploy advanced AI/ML systems (including LLMs and generative AI) end to end.
  • Architect scalable, reliable, and cost-efficient AI solutions for production environments.
  • Lead model optimization, evaluation, monitoring, and continuous improvement.
  • Drive MLOps practices for training, deployment, CI/CD, and lifecycle management.
  • Collaborate with product, data, and platform teams to deliver business-aligned AI outcomes.
  • Provide technical leadership through design reviews, mentorship, and AI strategy influence.

Qualifications
YOU MUST HAVE
  • 5+ years of hands-on AI/ML experience in production environments. Proven track record of delivering AI-powered systems at scale. Experience working in cross-functional, fast-paced environments
  • Core AI / Machine Learning
  • Deep expertise in: Machine learning fundamentals (supervised, unsupervised, reinforcement learning). Deep learning architectures (CNNs, RNNs, Transformers)
  • Hands-on experience with: Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines. Embeddings, vector databases, and semantic search.
  • Programming & Software Engineering: Strong proficiency in Python (primary AI development language), Experience with at least one additional language (Java, C++).
  • Solid understanding of: Data structures, algorithms, and distributed systems, API design, microservices, and backend integration, Ability to write clean, maintainable, production-quality code, AI & ML Frameworks.
  • Strong experience on one or more cloud platforms: Azure, AWS, Containerization and orchestration: Docker, Kubernetes: CI/CD tools for ML workflows

WE VALUE
  • Bachelor's degree in Computer Science, AI, ML, Data Science, or a related field
  • Master's degree (PhD is a Plus) in Computer Science, AI, ML, Data Science, or a related field
  • Multi-agent systems and autonomous agents
  • Edge AI or model compression/quantization
  • AI safety research and explainability techniques
  • Knowledge of: SQL and NoSQL databases
  • Familiarity with vector databases
  • Publications, patents, or open-source contributions in AI/ML

US PERSON REQUIREMENT
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status, or have the ability to obtain an export authorization.
BENEFITS OF WORKING FOR HONEYWELL
In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays.
ABOUT HONEYWELL
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high-growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe.
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Posting date: 4/28/2026
About Us
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.
Required Skills
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About Honeywell

Sourced by ZipRecruiter

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.

Industry

Furniture manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1906