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

Proficient skills in operating various hand tools, power equipment, and commercial machinery ... learning and growth. In exchange, we will reward you with great pay, cool perks, and flexibility ...

Proficient skills in operating various hand tools, power equipment, and commercial machinery ... learning and growth. In exchange, we will reward you with great pay, cool perks, and flexibility ...

Mobile Machine Learning information

See Flint, MI salary details

$11

$24

$116

How much do mobile machine learning jobs pay per hour?

As of May 29, 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 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 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 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.

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:
Part Time Instructor, Mechanical Operations Technology/Machining

Part Time Instructor, Mechanical Operations Technology/Machining

Mott Community College

Flint, MI

$1.12K/wk

Full-time, Part-time

Posted 12 days ago


Job description

Posting Details
This is a position we anticipate filling for future semesters. Specific part-time teaching needs for future semesters may not be known until the end of class registration.
Position Information
Posting Number
Position Title
Part Time Instructor, Mechanical Operations Technology/Machining
Employee Group
PT Faculty
Starting Salary
$1,124
Compensation Details
To view the benefits summary, go to
http://www.mcc.edu/hr/pdf/Benefit_Summary-Faculty_PT.pdf
Position Summary Information
Position Summary
Purpose, Scope & Dimension of Job:
Faculty facilitate student learning and initiate and participate in efforts to consistently improve the level of student success.As learning facilitators, faculty consistently assess learning outcomes and their own teaching effectiveness (pedagogy). As professionals, faculty adhere to the ethical standards of their profession. Where applicable, faculty maintain licensure and certifications.
Specific Teaching Assignment:
Faculty member will be responsible for teaching classes in some of the following areas: Machining, CNC, Mastercam, Metallurgy and Materials.
Supervisory Responsibility:
None
Minimum Requirements
Minimum Required Knowledge, Skills, and Abilities:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
  • Bachelor's Degree in Machining, Manufacturing, Mechanical, Applied Technology, Industrial/Technical, Materials, Metallurgy, Engineering or a related field. (Related fields must include 30 credit hours of Mechanical coursework.)
    • OR Bachelor's Degree with a Mechanical/Manufacturing related Associate's Degree
    • OR Bachelor's Degree with 30 credit hours in Mechanical/Manufacturing related courses
    • OR Bachelor's Degree and advanced professional credential as a Machining/Mechanical related Journeyperson.
    • OR Associate's Degree in the field and 10 years (full-time equivalency) of practical experience in the mechanical field and an advanced credential as a Machining/Mechanical Journeyperson. (If you do not have a Bachelor's Degree, than you must be willing to enroll and make continuous progress toward the completion of a Bachelor's degree within 5 years.)
    • Bachelor's Degree must be from an accredited institution.*
  • Two (2) years of (full-time equivalency) practical experience needed in mechanical fields.
  • Work experience is needed in the courses that are taught.

Additional Desirable Qualifications
Additional Preferred Qualifications:
  • College teaching experience.
  • Master's Degree in Manufacturing, Applied Technology, Career & Technical Education or related field.
  • Familiarity with the use of competency-based modularized courseware and instruction.
Physical Requirements/Working Conditions
  • The employee must be able to move about 2/3 of the time and be stationary about 1/3 of the time. They are required to be mobile around campus for participant involvement/activities.
  • They must be able to converse with individuals on a regular basis with the ability to read, analyze, and interpret their needs via phone conversations, face-to-face conversations, or written documentation.
  • The employee must be able to utilize all programs on a computer independently and efficiently.
  • They must be able to present information in an instructional or classroom setting and respond to questions from groups.
  • Must be able to tolerate frequent exposure to a wide variety of chemicals which are common to the industry. Must be able to handle and mix chemicals properly and safely; and wear appropriate PPE.

Work Schedule
It is customary for most of the classes in the technology division to run primarily early in the morning or during the evening hour. Normally starting at 5pm.
Faculty are required to make additional provisions for student consultations as may be necessary and reasonable.
Additional Information
Must be available to teach onsite; opportunities do not exist to teach online courses only.
This is a position we anticipate filling for future semesters. Specific part-time teaching needs for future semesters may not be known until the end of class registration.
If selected for an interview, candidates may need to provide a professional portfolio. Specific instructions will be shared prior to the interview.
Visa sponsorship is not available.
Additional Application Deadline Information
The College reserves the right to close the recruitment process once a sufficient applicant pool has been identified.
Application Deadline
Equal Opportunity Summary