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Mobile Machine Learning Jobs in Flint, MI (NOW HIRING)

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$11

$24

$116

How much do mobile machine learning jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for mobile machine learning in Flint, MI is $24.63, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $19.66 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 Flint, MI? The most popular types of Machine Learning jobs in Flint, MI are:
What are popular job titles related to Mobile Machine Learning jobs in Flint, MI? For Mobile Machine Learning jobs in Flint, MI, the most frequently searched job titles are:
What job categories do people searching Mobile Machine Learning jobs in Flint, MI look for? The top searched job categories for Mobile Machine Learning jobs in Flint, MI are:
What cities near Flint, MI are hiring for Mobile Machine Learning jobs? Cities near Flint, MI with the most Mobile Machine Learning job openings:
Mobile Machine Learning jobs near you
Electrical Engineering-Sensors Research Fellow (Hybrid)

Electrical Engineering-Sensors Research Fellow (Hybrid)

University of Michigan

Flint, MI • On-site

$50K - $60K/yr

Full-time

Posted 12 days ago

University Of Michigan rating

8.1

Company rating: 8.1 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

152nd of 611 rated colleges and universities

Job description

How to Apply
A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.
Job Summary
Electrical and Computer Engineering is looking for a Postdoctoral Fellow for a full year (12 months). The position is focused on wireless sensors and sensing systems. The successful candidate will work under the supervision of Dr. Ahmad Alsharoa on cutting-edge projects involving the application of sensor modalities in real-world environments, including smart system, healthcare monitoring, and activity recognition. The candidates will have opportunities to work with outstanding collaborators at all three University of Michigan campuses.
This is a full-time, benefits-eligible appointment for one year (12 months), with the possibility of renewal based on performance and funding availability.
Responsibilities*
  • Design, implement, and evaluate wireless-based experiments in lab and real-world settings.
  • Develop and test algorithms for object detection, tracking, and classification using wireless sensors.
  • Help guide and mentor graduate students and other junior team members working on the project.
  • Publish research findings in top-tier journals and conferences.
  • Assist in proposal development and grant writing.
  • Ensure that all research is conducted in an ethical manner and in compliance with safety standards and data protection regulations. This includes managing sensitive data correctly
    and guaranteeing that machine learning applications are developed with ethical considerations in mind.
  • Participate in regular meetings with the research group.

Required Qualifications*
  • Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • Proven experience working with wireless sensors, point cloud data processing, and sensor integration.
  • Strong background in signal processing, computer vision, or machine learning.
  • Proficient in programming languages such as Python, C++, and MATLAB.
  • Strong publication record in relevant research areas.
  • Excellent communication and teamwork skills.

Modes of Work
Hybrid:
The work requirements allow both onsite and offsite work and an employee has an expected recurring onsite presence. On occasion, the employee may be required and must be available to work onsite more frequently if necessitated by unit leadership or their designee and/or the job requirements.
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes here .
Background Screening
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
Application Deadline
Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.
U-M EEO Statement
The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.
Job Detail
Job Opening ID
280024
Working Title
Electrical Engineering-Sensors Research Fellow (Hybrid)
Job Title
RESEARCH FELLOW
Work Location
Flint Campus
Flint, MI
Modes of Work
Hybrid
Full/Part Time
Full-Time
Regular/Temporary
Regular
FLSA Status
Exempt
Organizational Group
Flint Cit
Department
Flint Electrical &Computer Eng
Posting Begin/End Date
7/14/2026 - 7/28/2026
Salary
$50,000.00 - $60,000.00
Career Interest
Research Fellows

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About University of Michigan

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The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

Year founded

1817

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