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Mobile Machine Learning Jobs in Florida (NOW HIRING)

Post Doctoral Associate

Coral Gables, FL · On-site

$46.60K - $63.20K/yr

... machine learning. * Design and conduct experimental studies involving robotic platforms such as dual-arm manipulators, mobile robots, and wearable/exoskeleton robotic systems. * Present research at ...

Post Doctoral Associate

Coral Gables, FL

$46.60K - $63.20K/yr

... machine learning. * Design and conduct experimental studies involving robotic platforms such as dual-arm manipulators, mobile robots, and wearable/exoskeleton robotic systems. * Present research at ...

Post Doctoral Associate

Coral Gables, FL · On-site

$46.60K - $63.20K/yr

... machine learning. * Design and conduct experimental studies involving robotic platforms such as dual-arm manipulators, mobile robots, and wearable/exoskeleton robotic systems. * Present research at ...

Post Doctoral Associate

Coral Gables, FL · On-site

$46.60K - $63.20K/yr

... machine learning. * Design and conduct experimental studies involving robotic platforms such as dual-arm manipulators, mobile robots, and wearable/exoskeleton robotic systems. * Present research at ...

Van & Equipment Maintenance: Assist with daily van setup and maintain tools, machines, and ... Comfortable working with your hands, using tablets/mobile apps, and learning new technical skills.

Civil Engineer

Miami Beach, FL · 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 ...

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Mobile Machine Learning information

See Florida salary details

$9

$18

$89

How much do mobile machine learning jobs pay per hour?

As of May 31, 2026, the average hourly pay for mobile machine learning in Florida is $18.93, according to ZipRecruiter salary data. Most workers in this role earn between $10.77 and $15.10 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 Florida? The most popular types of Machine Learning jobs in Florida are:
What cities in Florida are hiring for Mobile Machine Learning jobs? Cities in Florida with the most Mobile Machine Learning job openings:
A&S - Psychology - Assistant to Associate Professor - Adult Division

A&S - Psychology - Assistant to Associate Professor - Adult Division

The University of Miami

Coral Gables, FL • On-site

Full-time

Posted yesterday


University Of Miami rating

7.7

Company rating: 7.7 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

211th of 530 rated colleges and universities


Job description

Current Employees:

If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet.

2025-2026 Psychology Faculty Hire

Adult Division

College of Arts and Sciences - Psychology Department

The Department of Psychology in the College of Arts and Sciences at the University of Miami invites applications for a full-time faculty position in the department's Adult Division at the rank of either Assistant Professor (tenure-track) or Associate Professor (tenure-eligible). The start date of the appointment is August 15, 2026. The specific area of focus is open and could include, but is not limited to: basic research on affect, cognitive (learning, memory, attention) and social processes, mechanistic studies related to mental health, and clinical science. We also welcome outstanding scholars with expertise in one or more of the following methods: lab-based experimental, naturalistic, computational, mobile health/digital phenotyping, and/or cognitive neuroscience. Individuals with interests in data science, including advanced quantitative techniques, big data, computational approaches, and machine learning are especially encouraged to apply.

The University of Miami is a private institution, and the Department of Psychology is a vibrant, collaborative community that includes clinical and psychological sciences faculty across Adult, Cognitive and Behavioral Neuroscience, Child, and Health Divisions. The mission of the Department is to acquire, advance, and disseminate knowledge within the Psychological and Biobehavioral Sciences, supported through excellent graduate programs and state-of-the-art facilities. The University is embedded within the greater Miami community, which is one of the most vibrant metropolitan areas in the country.

Candidates must hold a Ph.D. (clinical or non-clinical) by the appointment start date. Applications can be submitted via the UM Careers website. Please compile the following documents in a single PDF and upload under the Resume/CV section of the online application. If you have difficulties uploading any representative publications due to size limitations, please email them directly to our administrative assistant Maria Shah (maria.shah@miami.edu).

  • Letter of interest
  • Current CV
  • Research statement
  • Teaching statement
  • 3 representative publications
  • 3-4 references - we will request letters of recommendation for a final pool of applicants

Review of applications will begin on December 1, 2025 and continue until the position is filled. Inquiries, requests for information, and nominations can be sent to the Search Chair Kiara Timpano (k.timpano@miami.edu).

The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information.

Job Status:

Full time

Employee Type:

Faculty

What University Of Miami employees say

Pay

Benefits

Hours and flexibility

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About University of Miami

Sourced by ZipRecruiter

The University of Miami, located in the beautiful Coral Gables, Florida, is a comprehensive, private research institution in the United States. Operating within the higher education industry, the institution offers a multitude of degree programs spanning over 180 majors and program through its 12 colleges. The University was founded in 1925 with the mission to disseminate knowledge, transform lives, and change the world - a mission it has held faithfully to this day. Notably, the University of Miami has gained global recognition for its commitment to research and innovation, with over $324 million in research and sponsored project funding awarded annually.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Coral Gables, FL, US

Year founded

1925