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Machine Learning Robotics Jobs in Arizona (NOW HIRING)

Pwc

Oracle Cloud Finance Consultant - Senior Manager

Phoenix, AZ · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will be part of a team that supports clients in their Finance Transformation journey, utilizing Oracle Cloud ERP and EPM, along with emerging technologies like RPA, Machine Learning, and ...

Symbotic

System Engineer

Buckeye, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

Iron Mountain

Manufacturing Engineering Director

Phoenix, AZ · On-site

$163.40 - $217.90/hr

  • Medical

  • Retirement

  • PTO

Identify high‑value opportunities to augment manual workflows with Collaborative Robots (Cobots) and partner with Data Science teams to implement Machine Learning models for predictive maintenance ...

Symbotic LLC

System Engineer

Buckeye, AZ · On-site

$71 - $97.90/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

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Showing results 21-40

All JobsMachine Learning Robotics JobsMachine Learning Robotics Jobs in Arizona

Machine Learning Robotics information

See Arizona salary details

$23.8K

$39.7K

$82K

How much do machine learning robotics jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning robotics in Arizona is $39,683.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 per year, depending on experience, location, and employer.

What is a machine learning robotics?

A Machine Learning Robotics job involves developing algorithms that enable robots to learn from data and improve their performance over time. Professionals in this field work on applications such as autonomous navigation, robotic perception, and human-robot interaction. They use techniques like deep learning, reinforcement learning, and computer vision to enhance a robot's ability to understand and interact with its environment. This role typically requires expertise in machine learning, robotics, and software development, along with strong problem-solving skills.

What are the key skills and qualifications needed to thrive in machine learning robotics?

To excel in Machine Learning Robotics, a strong background in computer science, robotics, and machine learning algorithms, often supported by a relevant degree (such as in engineering or computer science), is essential. Familiarity with programming languages like Python or C++, frameworks such as TensorFlow or ROS (Robot Operating System), and experience with simulation tools are highly valuable, and certifications in AI or robotics can further enhance employability. Strong problem-solving skills, effective communication, and the ability to work collaboratively in cross-disciplinary teams help professionals stand out. These capabilities are crucial for designing, developing, and refining intelligent robotic systems that perform reliably in real-world environments.

What are some common challenges faced by professionals working in machine learning robotics?

Professionals in Machine Learning Robotics often encounter challenges like integrating machine learning models with robotic hardware, ensuring reliable performance in unpredictable real-world settings, and managing computational limitations on embedded systems. Addressing these challenges usually requires creative problem-solving and close collaboration with hardware engineers, software developers, and data scientists. You may also need to continuously refine models and testing processes based on real-time feedback and evolving project goals. This dynamic environment makes the work both demanding and highly rewarding for those eager to push the boundaries of automation and intelligent systems.

What are the most commonly searched types of Machine Learning Robotics jobs in Arizona?

The most popular types of Machine Learning Robotics jobs in Arizona are:

What are popular job titles related to Machine Learning Robotics jobs in Arizona?

For Machine Learning Robotics jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Machine Learning Robotics jobs in Arizona look for?

The top searched job categories for Machine Learning Robotics jobs in Arizona are:

Machine Learning Robotics jobs near you
Infographic showing various Machine Learning Robotics job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $39,683 per year, or $19.1 per hour.

Robotics and Embedded Systems Professor - Full-Time, Part-Time, or Adjunct

University of Advancing Technology

Tempe, AZ • On-site

$3.0K/wk

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 17 days ago

Job description

Are you passionate about Robotics and want to share it with students excited to be in your classroom?
Who We Are:
University of Advancing Technology (UAT) is an elite intimate private college in Tempe, AZ focused on educating students in advancing technology who desire to innovate in the areas of emerging technology disciplines including Advancing Computer Science, Information Security, Game and New Media technologies.
Living on campus, students are surrounded by a true living-learning technology environment that incubates their ideas into innovations that students can patent and take to market. Students must create an innovation project to graduate.
We are an entrepreneurial, results-oriented company recognized for delivering high standards of innovation and service. As an organization designed to change the lives of some of the brightest young minds, we rely on the excellence of every member of our family to continuously exceed our own standards and our students' expectations.
The Role:
The Robotics Professor is directly responsible for developing and delivering courses that ensure UAT students achieve their program's learning outcomes, complete their programs and have an exceptional YRBL learning experience.
Professors primarily spend their time planning and delivering the learning experiences that guide students towards learning course objectives, creating innovative works and graduating as ethical technologists. Professors are masters of the YRBL methodology and effectively use all of its elements every day while mentoring students in ways that provide them with an exceptionally satisfying collegiate experience. Using UAT's systems, Professors provide timely and continuous feedback to students while focusing on helping all of them achieve every learning objective. As a teaching faculty member, Professors work with their peers and the Faculty Council to improve their courses while examining feedback from advisors, students and performance data.
Don't have teaching experience - that's where we come in. UAT's team of faculty and staff will work with you as you:
Essential Duties:
  • Inspire, motivate, and mentor students
  • Facilitate relevant student projects and innovations
  • Development and delivery of coursework that reflect current, emerging and future technologies and practices in the engineering field
  • Be an active member of the engineering community and encourage student participation

Education and Skills Requirements: Master's degree in robotics or relevant field with 18 credit hours in robotics required; Doctorate preferred
A combination of the below skills are preferred:
  • ARM microcontroller architecture and programming
  • Mechanical engineering fundamental concepts
    • Mechanical advantage
    • Simple machines
    • Simple physical analysis (torque, kinematics, etc.)
    • Components used to create a complex mechanism
  • Computer vision
  • Digital Vision and Sensor processing
    • Computer vision
    • Edge finding
    • Texture analysis
    • Detection / Sending methods in robots
  • Autonomous vehicles
    • Aerial vehicles
      • Computer control (for both fixed-wing and rotorcraft aerial vehicles)
      • Flight mechanics and electronic control of flight
      • Control base stations
      • Software techniques for controlling flying vehicles
    • Ground vehicles
      • creating fully autonomous ground vehicle that can learn, memorize, track and intercept a given object
  • Mechatronics
    • Basic mechanical design
      • Mechanical drafting and design
      • Design analysis
      • Rapid prototyping
    • PCB layout
      • Schematic capture
      • Design for electromagnetic interference
      • CRC design rules
      • Surface-mount layout
    • Common mechanical control methods
      • Controls theory
      • PID control methodology
      • Adaptive control systems

Pedagogy:
University of Advancing Technology's Synchronic Learning model is designed especially for students of advancing technology. Tailored to both undergraduate and graduate students, Synchronic Learning provides an education framework that prepares superior graduates to become tomorrow's innovators. This model embodies UAT's methodologies, curricula, and people dedicated to fostering an environment of innovation that promotes demonstrated mastery and job readiness. An integral part of this framework is SyncFlex, a flexible learning approach with an emphasis on mentored education that provides real project experience to cultivate superior graduates.
Important Notes:
Location Requirements: This is not a remote position; candidates must be willing to work in-person at our campus in Tempe, AZ.
Adjunct Pay: $3,000 for in-person courses; $2,400 for hybrid/online courses
Part-Time Pay: $42,500 - $55,000 dependent on Education and Experience
Full-Time Salary + Benefits: $85k-$110k dependent on Education and Experience.
  • Medical insurance option with UAT covering 60% of the premium cost, depending on coverage selection.
  • UAT has your BACK, by covering 100% of the monthly premium for Short-Term and Long-Term coverage.
  • Dental, Vision, 401k, Life Insurance, and AD&D Options
  • Over 15 Paid Holidays - we work hard, but give you that extra time to play hard as well!
  • Competitive Employee and Dependent Scholarship Programs; we take pride in your educational background and look forward to supporting your families' academic goals and endeavors.
  • Meal Benefit at University Café. HANGRY? Never heard of here. Come get your lunch at the café, on us, YUM!
  • University Store Discount amongst other Discount Programs.
  • Positive, open, and transparent Work Environment and culture that includes Kudos Program, Casual Fridays and Select Work Weeks, Employee Wellness Activities, Bring your Pet to Campus, along with Summer and Winter Happiness Events.
  • Employee Training and Development: Essential Skills Modules are scheduled on the job, allowing for learning, working, and implementation.

We do not discriminate on the basis of race, color, religion, national origin, sex, age, or disability. It is our intention that all qualified applicants be given equal opportunity and that selection decisions be based on job-related factors.
UAT does not sponsor foreign visa's. Thank you for your understanding.

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