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Multimodal Learning Jobs in Homestead, FL (NOW HIRING)

... multimodal machinegenerated data - including logs, time series, traces, and events. We combine deep ... Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE ...

Post Doctoral Associate

Coral Gables, FL · On-site

$46K - $63K/yr

Experience with signal processing, machine learning, statistical modeling, and multimodal data integration. * Strong scientific writing skills, with a demonstrated publication record in peer-reviewed ...

Freight Handler

Miami, FL · On-site

$14.75 - $19.25/hr

... multimodal transportation terminal, intermodal yard, warehouse, or dock environment, directly ... Perform tasks under appropriate supervision while learning equipment operation, safety protocols ...

Forklift Operator

Miami, FL · On-site

$16.25 - $19.25/hr

... multimodal transportation terminal, intermodal yard, warehouse, or dock environment, directly ... Perform tasks under appropriate supervision while learning equipment operation, safety protocols ...

Freight Handler

Miami, FL · On-site

$14.75 - $19.25/hr

... multimodal transportation terminal, intermodal yard, warehouse, or dock environment, directly ... Perform tasks under appropriate supervision while learning equipment operation, safety protocols ...

Multimodal Learning information

See Homestead, FL salary details

$19.3K

$56.7K

$105.2K

How much do multimodal learning jobs pay per year?

As of Jul 26, 2026, the average yearly pay for multimodal learning in Homestead, FL is $56,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,700.00 and $66,100.00 per year, depending on experience, location, and employer.

What is multimodal learning?

Multimodal learning is an area of machine learning that involves integrating and processing information from multiple types of data, such as text, images, audio, and video. The goal is to create models that can understand and make predictions based on more than one data modality, similar to how humans use various senses. This approach is used in applications like speech recognition with visual cues, image captioning, and video analysis. By combining different data types, multimodal learning systems can achieve better accuracy and more robust understanding.

What is the difference between Multimodal Learning vs Data Scientist?

AspectMultimodal LearningData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or Computer ScienceBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, AI development teams, academiaBusiness, tech companies, analytics teams
Industry UsageAI research, multimedia applications, roboticsData analysis, predictive modeling, business insights

Multimodal Learning focuses on developing AI models that process and integrate multiple data types like images, text, and audio. Data Scientists analyze data to extract insights, build models, and support decision-making. While both roles involve data and algorithms, Multimodal Learning is specialized in AI model development for complex data integration, whereas Data Scientists work broadly across data analysis and interpretation.

What are the key skills and qualifications needed to thrive as a Multimodal Learning Specialist, and why are they important?

To excel as a Multimodal Learning Specialist, you need a solid background in machine learning, data science, and computer vision, often supported by an advanced degree in a related field. Familiarity with deep learning frameworks like TensorFlow or PyTorch, experience integrating data from diverse sources (e.g., text, audio, images), and knowledge of relevant algorithms are crucial. Strong problem-solving abilities, creativity, and effective collaboration are standout soft skills for this role. These competencies are vital for developing innovative models that can process and interpret complex, multi-source data to drive impactful AI solutions.

What are some common challenges faced by professionals working in multimodal learning roles, and how can they be addressed?

Professionals in multimodal learning frequently encounter challenges related to integrating and aligning data from multiple sources, such as text, images, audio, or video. Ensuring data quality and consistency across modalities can be complex, and developing models that effectively combine heterogeneous information often requires advanced technical skills and innovative thinking. Collaboration with domain experts and other data scientists is key to overcoming these obstacles, as is staying up to date with the latest research and tools in machine learning. Regular team meetings and cross-disciplinary workshops can help foster a collaborative environment and promote knowledge sharing.
What cities near Homestead, FL are hiring for Multimodal Learning jobs? Cities near Homestead, FL with the most Multimodal Learning job openings:
Post Doctoral Associate

Post Doctoral Associate

The University of Miami

Coral Gables, FL • On-site

$46K - $63K/yr

Full-time

Posted 11 days ago


University Of Miami rating

7.7

Company rating: 7.7 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

254th of 611 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, please review this tip sheet.
CORE JOB SUMMARY
The Post Doctoral Associate performs scientific research and studies under the supervision of managing staff. Moreover, the Post Doctoral Associate promotes institutional recognition through literal contributions to the scientific community.
CORE JOB FUNCTIONS
1. Conducts research on specific areas of study as assigned.
2. Prepares research reports and technical papers for publishing.
3. Investigates the feasibility of applying a wide variety of scientific principles and theories.
4. Maintains substantial knowledge of state-of-the-art principles and theories.
5. Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions.
6. Adheres to University and unit-level policies and procedures and safeguards University assets.
This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary.
CORE QUALIFICATIONS
Education:
Doctorate degree in relevant field required
Experience:
No previous experience required
Certification and Licensing:
Refer to department description for applicable certification requirements
Knowledge, Skills and Abilities:
  • Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands.
  • Teamwork: Ability to work collaboratively with others and contribute to a team environment.
  • Technical Proficiency: Skilled in using office software, technology, and relevant computer applications.
  • Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders.

This is a core job profile description and is not reflective of all duties that may be assigned to a specific position in each individual department. The above statements are intended to describe the general nature and primary responsibilities of this core job profile. Specific duties and tasks may vary based upon departmental needs. Other duties may be assigned to the above consistent with the knowledge, skills, and abilities required for the job.
Department Specific Qualifications
Education:
A Ph.D. in Biomedical Engineering, Electrical Engineering, Computer Science and Engineering, Neuroscience, Applied Mathematics, or another closely related engineering or quantitative discipline is required.
Certification and Licensing:
N/A
Experience:
Less than 5 years of research experience following completion of a Ph.D.
Knowledge, Skills and Attitudes:
Required Knowledge
  • Advanced understanding of the principles, mechanisms, and applications of non-invasive neuromodulation technologies, including transcranial magnetic stimulation (TMS), transcranial alternating current stimulation (tACS), transcranial direct current stimulation (tDCS), Temporal Interference (TI) stimulation, focused ultrasound neuromodulation, shock wave stimulation, and related neural modulation techniques.
  • Advanced knowledge of human neurophysiology, motor control, neuromuscular function, pain mechanisms, psychiatric, and the neural circuits underlying behavior, cognition, and functional recovery.
  • Knowledge of multimodal neuroimaging principles and methodologies, including EEG, NIRS, MRI and diffusion imaging techniques.
  • Familiarity with human-subject research methodologies, experimental design, and statistical analysis.
Required Skills
  • Demonstrated ability to independently design, implement, and manage complex human-subject research studies.
  • Strong quantitative data analysis, signal processing, and computational modeling skills, with hands-on experience in neuromodulation technologies (e.g., TMS, tACS, tDCS, TI, and/or focused ultrasound) and multimodal neurophysiological and neuroimaging techniques, including EEG, fNIRS, EMG, MRI, and related neural recording and imaging modalities.
  • Experience with signal processing, machine learning, statistical modeling, and multimodal data integration.
  • Strong scientific writing skills, with a demonstrated publication record in peer-reviewed journals.
  • Ability to contribute to grant writing, particularly NIH-style proposals and progress reports.
  • Effective verbal and written communication skills for interdisciplinary collaboration with engineers, clinicians, and scientists.
Required Attitudes and Professional Attributes
  • Strong motivation to pursue independent, high-impact research.
  • Initiative and ability to work independently while contributing effectively within a multidisciplinary team.
  • Flexibility and adaptability in a dynamic research environment.
  • Willingness to learn new technologies and methodologies and continuously expand technical expertise.
  • Intellectual curiosity and commitment to scientific rigor and reproducibility.
  • Enthusiasm for translating engineering and neuroscience discoveries into clinically meaningful applications.

The University of Miami is recognized as one of the nation's premier research institutions and academic health systems and is among the largest employers in South Florida.
With more than 20,000 faculty and staff, the University is committed to excellence and guided by a mission to positively impact the lives of students, patients, and communities locally and globally.
We are dedicated to fostering a culture where every individual feels valued and empowered to contribute meaningfully. United by shared values, the University community works together to build an environment defined by purpose, collaboration, and service.
The University of Miami is an Equal Opportunity Employer. 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:
Staff

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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