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Mobile Machine Learning Jobs in Naperville, IL (NOW HIRING)

Reconstruct

Mobile App Developer

Chicago, IL · On-site

Mobile App Developer position How often do you get the chance to make a global impact developing ... Reconstruct's Visual Command Center (VCC) uses AI and Machine Learning inside of computer vision to ...

Adidev Technologies Inc

AI/ML

Des Plaines, IL · On-site

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a ...

Adidev Technologies Inc

AI/ML

Des Plaines, IL · On-site

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a ...

Adidev Technologies

AI/ML

Des Plaines, IL · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a ...

Deloitte

Oracle Gen AI Manager

Chicago, IL

... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ... Do you have the ability to transform an organization through the latest social, mobile, and ...

Deloitte

Oracle Gen AI Manager

Chicago, IL · On-site

... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ... Do you have the ability to transform an organization through the latest social, mobile, and ...

RZR Global Inc.

Agency Lead - Chicago, US

Chicago, IL · On-site

We operate at the intersection of machine learning, programmatic media, and full-funnel mobile growth, powering campaigns for some of the world's most ambitious advertisers. Our platform is purpose ...

Reyes Coca-Cola Bottling

Cloud Solutions Manager

Niles, IL · On-site

$56 - $75/hr

... mobile app technologies by overseeing software architecture, development, deployment, and ... Azure Machine Learning, and other related technologies using IaC tools in both IaaS and PaaS ...

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All JobsMobile Machine Learning JobsMobile Machine Learning Jobs in Naperville, IL

Mobile Machine Learning information

See Naperville, IL salary details

$12

$25

$119

How much do mobile machine learning jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for mobile machine learning in Naperville, IL is $25.29, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $20.14 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, specialized knowledge, and may be found in large tech companies or research institutions.

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.

Will MLE be replaced by AI?

Mobile Machine Learning Engineers (MLEs) develop and optimize machine learning models for mobile devices. While AI technologies continue to advance, MLEs focus on implementing efficient, lightweight models suitable for mobile hardware, and their role is expected to evolve rather than be fully replaced by AI itself. Skills in model optimization, deployment, and understanding mobile constraints remain essential for MLEs.

What engineer makes $500,000 a year?

Senior machine learning engineers, including those working on mobile applications, can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning and AI, and roles in high-paying industries or companies. Achieving this level often requires advanced degrees, specialized expertise, and leadership responsibilities.

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 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.

Which 3 jobs will survive AI?

Mobile Machine Learning professionals, data scientists, and AI system engineers are likely to continue thriving as AI advances, due to their expertise in developing, managing, and interpreting complex models. These roles require specialized skills in programming, statistics, and domain knowledge, making them less susceptible to automation. Continuous learning and staying updated with AI tools and frameworks are essential for long-term job security in this field.

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 most commonly searched types of Machine Learning jobs in Naperville, IL? The most popular types of Machine Learning jobs in Naperville, IL are:
What are popular job titles related to Mobile Machine Learning jobs in Naperville, IL? For Mobile Machine Learning jobs in Naperville, IL, the most frequently searched job titles are:
What job categories do people searching Mobile Machine Learning jobs in Naperville, IL look for? The top searched job categories for Mobile Machine Learning jobs in Naperville, IL are:
What cities near Naperville, IL are hiring for Mobile Machine Learning jobs? Cities near Naperville, IL with the most Mobile Machine Learning job openings:
Mobile Machine Learning jobs near you
Mobile App Developer

Mobile App Developer

Reconstruct

Chicago, IL • On-site

Full-time

Re-posted 7 days ago

Job description

About the job: Mobile App Developer position

How often do you get the chance to make a global impact developing the latest AI inside of the built world? Reconstruct's Visual Command Center (VCC) uses AI and Machine Learning inside of computer vision to track the lifecycle of large capital assets like data centers, airports, hospitals, water treatment systems, etc. Come join our team with your talents as a Mobile App Developer. Check us out at www.reconstructinc.com.

Must be able to come into the company office in Menlo Park, CA; Chicago, IL; or Champaign, IL.

Objectives of this role

  • Translate the company's vision to modify and create Reconstruct's mobile apps through clean coding
  • Design the next-gen models of apps with high-quality mobile and application development
  • Manage the entire evolution process of the app from ideation to execution and refinement and optimization
  • Collaborate with other engineering and product team members to deliver best in class solutions

Responsibilities

  • Build the design interface as per customers' needs and develop new features in Android & iOS
  • Fix bugs and other performance issues while improving the usability of the mobile apps through periodic testing
  • Collaborate with other mobile app developers, back-end and front-end developers and designers throughout the lifecycle of the apps
  • Communicate with users to understand their exact requirements and delivery value to them

Required skills and qualifications

  • Bachelor's degree in computer science or related technical field
  • 3+ years' experience working as a mobile app developer with a variety of APIs
  • Comprehensive knowledge of mobile app development
  • Strong communication skills, both written and verbal & demonstrated ability to take ownership, multi-task, lead technical projects, and work independently & collaboratively
  • A portfolio of previous mobile apps created and released
  • Knowledge of React Native, Java, Swift or other similar programming languages