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Mobile Machine Learning Jobs in Wisconsin (NOW HIRING)

Paradigm

Senior ML Ops Engineer

Middleton, WI · On-site

$123K - $170K/yr

We are building the future with modern software engineering, agent-assisted systems, and mobile ... end-to-end machine learning lifecycle, including model training, deployment, monitoring, and ...

Deloitte

Oracle Gen AI Manager

Milwaukee, WI · 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 ...

Rite-Hite

Systems Architect - Edge AI/ML

Milwaukee, WI · On-site

$238K/yr

... machine learning solutions deployed on edge platforms, ensuring scalability, reliability, and ... mobile applications, and enterprise or cloud-based platforms. • Ensure solutions support online ...

EnsoData

User Experience (UX) Designer

Madison, WI · On-site +1

Using AI and machine learning, our software analyzes billions of data points collected from sensors ... Mobile app design * User Experience Design certification is a bonus * Healthcare technology ...

EnsoData

User Experience (UX) Designer

Madison, WI · On-site

Using AI and machine learning, our software analyzes billions of data points collected from sensors ... Mobile app design * User Experience Design certification is a bonus * Healthcare technology ...

EnsoData

User Experience (UX) Designer

Madison, WI · On-site

Using AI and machine learning, our software analyzes billions of data points collected from sensors ... Mobile app design * User Experience Design certification is a bonus * Healthcare technology ...

Fiserv, Inc.

Sr Data Scientist

Milwaukee, WI · On-site

Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, w ... machine learning modeling experience. Prior experience must include: 4 years building and ...

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All JobsMobile Machine Learning JobsMobile Machine Learning Jobs in Wisconsin

Mobile Machine Learning information

See Wisconsin salary details

$12

$25

$120

How much do mobile machine learning jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for mobile machine learning in Wisconsin is $25.56, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $20.38 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 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 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 Wisconsin? The most popular types of Machine Learning jobs in Wisconsin are:
What are popular job titles related to Mobile Machine Learning jobs in Wisconsin? For Mobile Machine Learning jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Mobile Machine Learning jobs in Wisconsin look for? The top searched job categories for Mobile Machine Learning jobs in Wisconsin are:
What cities in Wisconsin are hiring for Mobile Machine Learning jobs? Cities in Wisconsin with the most Mobile Machine Learning job openings:
Mobile Machine Learning jobs near you

Fluid Power Mobile Applications Adjunct Trainer

Milwaukee School of Engineering (MSOE)

Milwaukee, WI • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Who We Are
Milwaukee School of Engineering (MSOE) is an academic institution intrinsically tied to the real world - a confluence of industry knowledge, work ethic and an enduring desire to know more. The university offers Bachelor's and Master's degrees in engineering, computer science, machine learning, user experience, construction management, actuarial science, business and nursing. With about 3,000 students, faculty and staff, MSOE is large enough for big opportunities and small enough for personal attention.
A Small University Dedicated to Achieving Big Things
MSOE is a supportive environment where everyone is valued. Our method of learning by doing is our distinction: it is how we teach, how we learn and how we serve. MSOE's top priority is serving our students. By joining our community, you are building the leaders of tomorrow.
Our Mission
MSOE is the university of choice for those seeking an inclusive community of experiential learners driven to solve the complex challenges of today and tomorrow. We are united by our six values - collaboration, excellence, inclusion, innovation, integrity and stewardship - which represent the core of our campus culture. MSOE has embarked on an ambitious strategic plan, Extraordinary Together, that propels the institution forward. At MSOE, we are dedicated to promoting an academic environment marked by an unwavering respect for every individual.
Our Leadership
MSOE is under the leadership of Dr. Eric Baumgartner. He began his Presidency in January 2026 after having served as the Executive Vice President of Academics at MSOE since 2017.
Summary
MSOE invites applications for a part-time / Adjunct Trainer for Fluid Power, Mobile Applications to join our Professional Education and Research Development team. Under the direction of the Program Director of Fluid Power Education, the Fluid Power Mobile Applications Adjunct Trainer prepares and delivers non-credit, professional education and training in the field of fluid power.
Essential Job Functions
  • Responsible for preparing, conducting, and evaluating industrial training programs nationwide in the USA and possibly overseas.
  • Teach basic to advanced levels of classes such as:
  • Hydrostatic Transmissions
  • Control Blocks in Mobile Machines
  • Steering and Fan Drive Systems
  • Hybrid and Electrified Mobile Machines
  • Excavators and Shovels
  • Loaders, Dozers, and Graders
  • Road Construction Machines
  • Aerial Work Platforms
  • Forklifts and Telehandlers
  • Cranes
  • Mining Equipment
  • Municipal and Hauling Trucks
  • Concrete Pumps and Mixers
  • Tractors and AG Machines
  • Tunnel Boring Machines
  • Aerospace Applications
  • Marine and Military Applications
  • Railways Applications
  • Teach premade material or customize material upon request.
  • Assist the program director in communication with the clients, business development, and logistics of the training programs.
  • Evaluate the training programs and suggest the required adjustments based on the client's feedback.

Other Duties and Responsibilities
  • Assist in student employee training.
  • Provide technical assistance and support to the academic departments and student project when necessary.
This list of duties and responsibilities is not all-inclusive and may be expanded to include other duties and responsibilities as management may deem necessary from time to time.
Qualifications
  • Bachelor's degree in Mechanical Engineering is required. Post graduate studies preferred.
  • 5+ years of technical training experience in one of the above-mentioned topics.
  • Industrial experience as well as teaching experience in the subject matter.
  • Solid understanding of the basic theory and teaching in a practical-oriented way.
  • Excellent communication and presentation skills.
  • Demonstrated ability to lead groups and analyze materials for the purpose of training documentation and training class development.
  • Ability to travel upon request.
Skills and Abilities
  • Ability to read and interpret documents such as safety rules, operating instructions, and procedure manuals. Ability to write routine reports and correspondence.
  • Ability to speak effectively before others. Ability to effectively communicate in both written and oral form.
  • Ability to use numbers to solve problems involving concrete variables in standardized situations.
  • Ability to apply common-sense understanding to carry out written or oral instructions.
Physical Demands
While performing the duties of this job the employee is largely sedentary, the ability to move is required. The employee is occasionally required to traverse within their work area as well as other areas on campus.
Work Environment
This job operates in a professional office and/or classroom environment. This role uses standard office equipment, including but not limited to computers, phones, photocopiers, and filing cabinets.
The above statements reflect the general details necessary to describe the principle functions of the occupation described and shall not be construed as a detailed description of all the work requirements that may be inherent in the occupation. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
It is the policy of MSOE to provide equal employment opportunity to all individuals regardless of their race, ethnicity, color, creed, religion, sex, age, national origin, physical or mental disability, military and veteran status, sexual orientation, gender identity, genetic characteristics, marital status or any other characteristic protected by local, state or federal law. This policy applies to all jobs at the University and to all the terms, benefits, and conditions of employment/enrollment.
Job Code: 222

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