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Multimodal Learning Jobs in Florida (NOW HIRING)

Preference will be given to applicants with experience in multimodal learning, graph neural networks, and interpretable AI. We also welcome candidates with interests in emerging areas such as multi ...

Hands-on experience with CNN and transformer architectures for document AI for image classification, transfer learning, and feature extraction; multimodal document understanding combining textual ...

Hands-on experience with CNN and transformer architectures for document AI for image classification, transfer learning, and feature extraction; multimodal document understanding combining textual ...

Hands-on experience with CNN and transformer architectures for document AI for image classification, transfer learning, and feature extraction; multimodal document understanding combining textual ...

Experience with deep learning and being familiar with tools such as PyTorch or TensorFlow. * Hands ... Define and build new ML features using text and multimodal embeddings and GenAI. * Validate offline ...

Experience with multimodal AI (vision, speech, structured data). * Background in AI governance ... MLOps: MLflow, Azure Machine Learning, or equivalent model lifecycle tools. * Observability:

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Multimodal Learning information

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 in Florida are hiring for Multimodal Learning jobs? Cities in Florida with the most Multimodal Learning job openings:
Assistant Professor

Assistant Professor

University of Florida

Gainesville, FL • On-site

$135K/yr

Full-time

Posted 14 days ago


University Of Florida rating

7.3

Company rating: 7.3 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

309th of 535 rated colleges and universities


Job description

Assistant Professor
Job no: 537101
Work type: Tenure-Track Faculty
Location: Main Campus (Gainesville, FL)
Categories: Health Care Administration/Support
Department:29240101 - MD-HOBI-GENERAL
Classification Title:
Assistant Professor
Classification Minimum Requirements:
The University of Florida College of Medicine, Department of Health Outcomes and Biomedical Informatics, is seeking a tenure-track Assistant Professor in the Division of Biomedical Informatics and Data Science.
  • A Ph.D. in biomedical informatics or a related discipline such as computer science or information science.
  • A demonstrated track record of research and scholarly contributions in biomedical informatics.
  • A clear commitment to pursuing a long-term academic career in the field.

Job Description:
Demonstrate expertise in deep learning, causal AI, large language models (LLMs), with a record of applying these methods to disease diagnosis and treatment in areas such as cancer, Alzheimer's disease and related dementias, behavioral health and developmental disabilities (including depression, autism), and type 2 diabetes. Preference will be given to applicants with experience in multimodal learning, graph neural networks, and interpretable AI. We also welcome candidates with interests in emerging areas such as multi-agent learning and the development of foundation models for electronic health records (EHRs). Strong skills in algorithm development and programming are essential, along with the ability to work effectively in multidisciplinary teams and communicate across domains.
Expected Salary:
$135,000
Required Qualifications:
• A Ph.D. in biomedical informatics or a related discipline such as computer science or information science.
• A demonstrated track record of research and scholarly contributions in biomedical informatics.
• A clear commitment to pursuing a long-term academic career in the field.
Preferred:
Preference will be given to applicants with experience in multimodal learning, graph neural networks, and interpretable AI. We also welcome candidates with interests in emerging areas such as multi-agent learning and the development of foundation models for electronic health records (EHRs). Strong skills in algorithm development and programming are essential, along with the ability to work effectively in multidisciplinary teams and communicate across domains.
Special Instructions to Applicants:
In order to be considered, you must upload your cover letter and resume.
This is a time limited position.
This requisition will be used to fill multiple positions.
The Search Committee will accept applications until the position is filled. Applications will be reviewed on an ongoing basis by the committee.
If you require an accommodation due to a disability to apply for this position, please contact the ADA Office at (352) 392-2477 or the Florida Relay System at (800) 955-8771 (TDD). For more information, visit the UF ADA Compliance website: https://ada.ufl.edu
Health Assessment Required:No
Advertised: 11 Sep 2025 Eastern Daylight Time
Applications close:
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About University of Florida

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The University of Florida is one of the top ranked public universities in the United States (ranked top 5 amongst public universities in 2023 US news and world report). It is one of only a few comprehensive universities, having medical, veterinary, dental, nursing, public health, and engineering disciplines all co-localized on the same, contiguous campus to facilitate interdisciplinary collaboration. Gainesville is located in the northern region of Florida, within 1-1.5 hours of each coast, and just 1.5-2 hours to Orlando and Tampa. It is a small to medium-sized city with a low cost of living, excellent public and private schools, and southern hospitality. While Gainesville is widely recognized as the home of the Gators, it is quickly becoming known as a center for innovation and a place with a lifestyle that's comfortable for families, yet attractive for young professionals.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Gainesville, FL, US

Year founded

1853