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Machine Learning Robotics Jobs in Arizona (NOW HIRING)

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 ...

NGA AI Engineer Manager

Phoenix, AZ · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Intelligence and Robotics preferred - Demonstrating exceptional team leadership abilities ...

Control Systems Engineer

Phoenix, AZ · On-site

$90 - $120/hr

Some interesting areas we are exploring include industrial automation, machine learning, IIOT, cyber security, AI, robotics, and other technologies. With approximately 900 employees globally, Brock ...

New

Learning and Development * Crosstrain on multiple machines and fabrication processes. * Demonstrate a willingness to learn new equipment, automation, and robotic systems. * Participate in training ...

... and machine learning. - Manage the end-to-end orchestration of the large-scale auto-labelling ... Qualifications: - Bachelors degree with a Computer Science, Robotics and/or similar technical field ...

... and machine learning. - Manage the end-to-end orchestration of the large-scale auto-labelling ... Qualifications: - Bachelors degree with a Computer Science, Robotics and/or similar technical field ...

Showing results 41-60

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:

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.

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago


Symbotic rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

185th of 245 rated software companies


Job description

Who we are

With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system - reinventing warehouse automation for increased efficiency, speed and flexibility.

What we need

Symboticis seeking a System Engineer to support the day-to-day reliability, availability, and performance of our automated warehouse systems in a live production environment. This role is hands-on and operational in nature, aligned closely with a Maintenance Engineer or Lead Automation Technician profile. The System Engineer focuses on troubleshooting,maintaining, and stabilizing complex electro-mechanical and automated systems to ensure safe, consistent system uptime. This role is not commissioning-focused, notcontrols-programming-heavy, and not customer-facing, but instead centered on system health, equipment reliability, and technical execution on site

What we do

The System Engineeris part of the Customer Operations organization whichis responsible forleadingthe day-to-day operations ofSymbotic'srobotic material handling system.The Customer Operations organization drives operational excellenceby engaging and partnering with our onsite customers to drive best-in-class quality,safetyand system performance.

Whatyou'lldo

  • Monitor andmaintainthe health of automated systems including conveyors, lifts, robotic vehicles, motors, sensors, and PLC-controlled equipment.

  • Perform advanced electrical, mechanical, and automation troubleshooting to resolve production-impacting issues.

  • Diagnose failures across PLCs (Allen-Bradley), VFDs, AC/DC motors, servo motors, sensors, and control hardware.

  • Support and execute preventive and corrective maintenance activities on automated equipment.

  • Utilize system data, alarms, logs, and dashboards toidentifyfault conditions and recurring issues.

  • Document maintenance activities, repairs, and findings using CMMS systems (e.g., Maximo) and internal tools.

  • Act as a senior technical escalation point during system disruptions or downtime events.

  • Partner with on-site maintenance, operations, and technical teams to restore and stabilize system performance.

  • Provide technical guidance and on-the-job support to maintenance technicians and operators.

  • Step in to support critical on-site technical functions as needed tomaintainoperational continuity.

  • Ensure compliance with OSHA, LOTO, electrical safety, andSymboticsafety standards.

Whatyou'llneed

  • Bachelor's degree in Electrical Engineering, Computer Science, Software Engineering, Automation Engineering, or a related field, or equivalent hands-on experience.

  • Minimum of 1 year ofhands-on experience with PLCs, preferably Allen-Bradley, focused on diagnostics and troubleshooting (not heavy programming).

  • Minimum of 1 year ofexperience with VFDs, including diagnosing speed, torque, and drive-related issues.

  • Minimum of 1 year ofexperience working with AC and DC motors.

  • Hands-on experience with automated systems such as conveyor systems, conveyor belts, vertical lifts, and motor-driven equipment.

  • Experience supporting autonomous or semi-autonomous systems, including conveyors, lifts, AS/RS, robotics, servo motors, or 480V systems.

  • Working knowledge of SQL, Python, and Linux for diagnostics, log review, and system interaction.

  • Strong hands-on experience assembling,operating, maintaining, and troubleshooting robotics and electro-mechanical systems.

  • Prior experience in maintenance engineering, automation maintenance, or lead maintenance technician roles preferred.

Our Environment

  • Work is performed in an active industrial environment withhigh levelsof automation.

  • Ability to work at heights of up to 45 feet and within confined spaces.

  • Ability to lift and/or move up to 50 pounds.

  • Exposure to varying temperatures and production conditions.

  • Mustcomply withall PPE, LOTO, fall protection, and electrical safety requirements.

  • Ability to work flexible hours, includingoff-shifts, as needed to support system uptime and recovery.

  • Valid driver's licenserequired.

#LI-KK2

#LI-Onsite

About Symbotic

Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world's largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visitwww.symbotic.com.

We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work - for you and the world. That's why we're proud to be an equal opportunity employer.

We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.

The base range for this position in the posted location is $71,000.00 - $97,900.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.

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