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Multimodal Learning Jobs in Oklahoma (NOW HIRING)

Cisco

Applied AI Scientist

Oklahoma City, OK · On-site

... 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 ...

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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 are the key skills and qualifications needed to thrive in multimodal learning, 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 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 popular job titles related to Multimodal Learning jobs in Oklahoma?

For Multimodal Learning jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Multimodal Learning jobs in Oklahoma look for?

The top searched job categories for Multimodal Learning jobs in Oklahoma are:

What cities in Oklahoma are hiring for Multimodal Learning jobs?

Cities in Oklahoma with the most Multimodal Learning job openings:

Multimodal Learning jobs near you

Research Assistant Professor of Computer Science - Medical Imaging Informatics and AI for Translatio

Norman, OK • On-site

University of Oklahoma
Education • 5 - 10K employees
Learn more about University of Oklahomaexternal

Full-time

Posted 21 days ago

University Of Oklahoma rating

8.1

Company rating: 8.1 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

Job description

Description
The School of Computer Science at the University of Oklahoma invites applications for a 12-month non-tenure track Research Assistant Professor position in Computer Science with a focus on informatics and AI/ML for medical imaging in translational cancer research. This Research Assistant Professor will be part of the Clinical Imaging and Data Resources Core (CIDRC) of the NIH COBRE Oklahoma Center of Medical Imaging for Translational Cancer Research (OCMICR). The position will perform independent and collaborative research in medical imaging AI and informatics, including image segmentation, representation learning, multimodal data integration, quantitative imaging biomarkers, AI-assisted annotation, and reproducible computational analysis.
Responsibilities
The successful candidate will be expected to:
Conduct methodological and collaborative research in areas such as medical image segmentation, classification, registration, multimodal learning, radiomics/pathomics, AI-assisted annotation, foundation models, and quantitative imaging biomarker discovery;
Collaborate with investigators on the design and analysis of cancer imaging studies involving radiology, pathology, microscopy, optical imaging, ultrasound/photoacoustic imaging, and other biomedical imaging modalities;
Support the development of imaging informatics and computational infrastructure for organizing, processing, analyzing, and sharing multimodal imaging datasets;
Develop reproducible computational workflows for image preprocessing, feature extraction, model training, evaluation, visualization, and downstream statistical or machine learning analysis;
Integrate imaging data with relevant clinical, biospecimen, biomarker, molecular, or other biomedical data to support translational interpretation;
Contribute to manuscripts, grant applications, preliminary-data generation, software development, documentation, and training activities;
Participate in interdisciplinary consultations, workshops, and collaborative research activities related to CIDRC and the broader medical imaging research community
Qualifications
  • A Ph.D. in Computer Science, Data Science, Biomedical Informatics, Electrical Engineering, or a closely related field.
  • Demonstrated research expertise in one or more of the following areas: machine learning, computer vision, medical image analysis, or biomedical imaging informatics.
  • A record of scholarly productivity appropriate for appointment at the rank of Research Assistant Professor.
  • Strong programming, system-building, and experimental evaluation skills.
  • Ability to develop, validate, and apply computational methods for biomedical imaging data.
  • Ability to work effectively in interdisciplinary research teams involving clinicians, biomedical engineers, biostatisticians, and cancer researchers.
  • Excellent written and oral communication skills.

Application Instructions
Applicants should submit a cover letter, curriculum vitae, and contact information for three references to Interfolio. Applications will be reviewed until the position is filled.

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About University of Oklahoma

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The University of Oklahoma is a prominent educational institution positioned in Norman, Oklahoma, US. Established in 1890, the university stakes a claim within the higher education industry and has a storied history of excellence in academics and research. Serving over 20,000 students, the university offers a wide range of programs across fields such as arts and sciences, business, engineering, international studies, and more. Emphasizing a dedication to unlocking potential, OU's mission is to provide the best possible educational experience to students through excellence in teaching, research, and creative activity. Notably, the institution has made significant strides in research with a focus on areas such as cancer, aerospace, and energy among others.

Industry

Education

Company size

5,001 - 10,000 Employees

Headquarters location

Norman, OK, US

Year founded

1890

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