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Mobile Machine Learning Jobs in Arizona (NOW HIRING)

Machinist I - 2nd

Glendale, AZ · On-site

$22 - $26.50/hr

Today, we accelerate and transform life sciences, mobile consumer electronics, optical ... Machinist I's are responsible for learning and executing production processes to manufacture small ...

Machinist I - 2nd

Glendale, AZ · On-site

$22 - $26.50/hr

Today, we accelerate and transform life sciences, mobile consumer electronics, optical ... Machinist I's are responsible for learning and executing production processes to manufacture small ...

Machinist Apprentice

Glendale, AZ · On-site

$18 - $20/hr

Today, we accelerate and transform life sciences, mobile consumer electronics, optical ... Apprentices are responsible for learning and executing production processes to manufacture small ...

Today, we accelerate and transform life sciences, mobile consumer electronics, optical ... Apprentices are responsible for learning and executing production processes to manufacture small ...

Machinist Apprentice

Glendale, AZ · On-site

$18 - $20/hr

Today, we accelerate and transform life sciences, mobile consumer electronics, optical ... Apprentices are responsible for learning and executing production processes to manufacture small ...

Machinist Apprentice

Glendale, AZ · On-site

$18 - $20/hr

Today, we accelerate and transform life sciences, mobile consumer electronics, optical ... Apprentices are responsible for learning and executing production processes to manufacture small ...

Machinist Apprentice

Glendale, AZ · On-site

$18 - $20/hr

Today, we accelerate and transform life sciences, mobile consumer electronics, optical ... Apprentices are responsible for learning and executing production processes to manufacture small ...

... for mobile, edge, and hyperscale computing platforms. Within APTM, the Assembly Technology ... intelligence and machine learning concepts. Preferred Qualifications: One or more years of ...

Civil Engineer

Phoenix, AZ · Hybrid

$45 - $60/hr

We hire and support both Civil Engineering and IT professionals, including Mobile Developers and Machine Learning Engineers, and partner with municipalities, transportation authorities, utilities ...

Civil Engineer

Phoenix, AZ · On-site

$45 - $60/hr

We hire and support both Civil Engineering and IT professionals, including Mobile Developers and Machine Learning Engineers, and partner with municipalities, transportation authorities, utilities ...

Yield Engineer

Phoenix, AZ · On-site

$127K - $179K/yr

... for mobile, edge, and hyperscale computing platforms. Within APTM, the Assembly Technology ... intelligence and machine learning concepts. Preferred Qualifications: One or more years of ...

... for mobile, edge, and hyperscale computing platforms. Within APTM, the Assembly Technology ... intelligence and machine learning concepts. Preferred Qualifications: One or more years of ...

... for mobile, edge, and hyperscale computing platforms. Within APTM, the Assembly Technology ... intelligence and machine learning concepts. Preferred Qualifications: One or more years of ...

... for mobile, edge, and hyperscale computing platforms. Within APTM, the Assembly Technology ... intelligence and machine learning concepts. Preferred Qualifications: One or more years of ...

Senior Software Developer

Mesa, AZ · On-site

$54 - $71.50/hr

... mobile applications. * Develop high-quality software with an eye for design and usability ... Knowledge of Machine learning, AI concepts, and Blockchain is a plus * Experienced in Agile ...

Showing results 21-40

Mobile Machine Learning information

What is mobile machine learning?

Mobile machine learning refers to the development and deployment of machine learning models on mobile devices such as smartphones and tablets. It enables apps to perform tasks like image recognition, language translation, and speech processing directly on the device without needing to send data to the cloud. This approach improves privacy, reduces latency, and can work even without an internet connection. Developers use frameworks like TensorFlow Lite, Core ML, and PyTorch Mobile to optimize models for the limited resources of mobile hardware.

What are some common challenges faced by mobile machine learning engineers when deploying models on mobile devices?

Mobile Machine Learning engineers often encounter challenges related to limited computational resources and memory constraints on mobile devices. Optimizing models for efficient inference without significant loss in accuracy is a key hurdle, as is ensuring compatibility across different devices and operating systems. Additionally, balancing power consumption and real-time performance is critical, so engineers frequently collaborate with mobile app developers and hardware specialists to deliver seamless user experiences while maintaining model integrity.

What are the key skills and qualifications needed to thrive as a mobile machine learning engineer, and why are they important?

To thrive as a Mobile Machine Learning Engineer, you need a solid background in computer science, machine learning, and mobile application development, often supported by a relevant degree and experience. Proficiency with ML frameworks (like TensorFlow Lite or Core ML), mobile platforms (Android/iOS), and deployment tools is typically required. Strong problem-solving skills, adaptability, and effective communication set standout professionals apart in this field. These skills are crucial for successfully developing, optimizing, and integrating machine learning models into efficient and user-friendly mobile applications.

What is the difference between Mobile Machine Learning vs Data Scientist?

AspectMobile Machine LearningData Scientist
Required CredentialsBachelor's in CS, ML, or related; experience with mobile platformsBachelor's or higher in CS, Statistics, or related; data analysis skills
Work EnvironmentMobile app development teams, on-device processingData analysis teams, research environments
Industry UsageMobile app companies, tech startupsFinance, healthcare, tech firms
Common Search/ComparisonYesYes

Mobile Machine Learning focuses on developing ML models optimized for mobile devices and integrating them into mobile apps. Data Scientists analyze large datasets to extract insights and build predictive models across various industries. While both roles require programming and ML knowledge, Mobile Machine Learning emphasizes on-device deployment and mobile platform expertise, whereas Data Scientists focus on data analysis and model development for broader applications.

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

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

What cities in Arizona are hiring for Mobile Machine Learning jobs?

Cities in Arizona with the most Mobile Machine Learning job openings:

Infographic showing various Mobile Machine Learning job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machinist I - 2nd

Corning

Glendale, AZ • On-site

$22 - $26.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Corning rating

8.2

Company rating: 8.2 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

89th of 540 rated manufacturers


Job description

Requisition Number: 76850

The company built on breakthroughs. 
Join us.           
       

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible. 

How do we do this? With our people. They break through limitations and expectations- not once in a career, but every day. They help move our company,and the world, forward. 

At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more. 

Come break through with us. 

Corning's businesses are ever-evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, automotive, and solar markets. We are changing the world with: 

  • Trusted products that accelerate drug discovery, development, and delivery to save lives
  • Damage-resistant cover glass to enhance the devices that keep us connected
  • Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light
  • Precision glass for advanced displays to deliver richer experiences 
  • Auto glass and ceramics to drive cleaner, safer, and smarter transportation 
  • Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy solutions
 
The purpose of this position is:
Machinist I's are responsible for learning and executing production processes to manufacture small parts. These will be parts of all levels of complexity. They will be expected to run varying types of CNC machines to produce these parts.
 
This position includes significant duties such as:
  • Work in a team environment to optimize output of quality product, assist others as necessary and promote safety awareness.
  • Must be able to read and follow routers, work instructions, drawings, and other relevant documents.
  • Perform machining operations for all complexities of parts.
  • May be expected to train other operators as necessary.
  • May include becoming proficient on multiple machine types including lathes and mills.
  • Perform inspection to identify good product from bad product and take appropriate corrective action.
  • Must be able to read and understand blueprints, part identification and record data in accordance with router, work instruction and drawing instructions.
  • Operators are expected to know performance metrics and work toward targeted objectives.
  • Operators should proactively report any part, process, or equipment issues as soon as they become aware.
 
Working Conditions:
  • Must be able to work on one's feet for most of the shift. Must also be able to work with small parts under a microscope.
 
Education:
  • Certified machinist or completion of apprenticeship program.
  • General education degree.
 
Experience:
 
  • 6+ months of machining experience preferred.

This position does not support immigration sponsorship.


The range for this position is $22.00 hourly rate - $26.50 hourly rate.  Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. 

A job that shapes a life. 

Corning offers you the total package. 

Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one.

  • Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.
  • As part of our commitment to your financial well-being, we provide a 100% company-paid pension benefit with fixed contributions that grow throughout your career. Combined with matching contributions to your 401(k) savings plan, Corning's total contributions to your retirement accounts can reach between 7% and 12% of your pay, depending on your age and years of service.
  • Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP) to support you and your family.  
  • Getting paid for our work is important, but feeling appreciated and recognized for those contributions motivates us much more. That's why Corning offers a recognition program to celebrate successes and reward colleagues who make exceptional contributions. 

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at accommodations@corning.com.


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