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Multimodal Learning Jobs in Texas (NOW HIRING)

webAI

AI Research Scientist

Austin, TX · On-site

Responsibilities : • Design, train, and optimize machine learning models including LLMs, multimodal models, transformers, and diffusion architectures • Conduct research on model efficiency ...

webAI Inc

Staff R&D AI Engineer

Austin, TX · On-site

You'll architect and implement Vision-Language-Action (VLA) models, advance reinforcement learning applications, and push the boundaries of multimodal AI integration. This role combines deep ...

webAI Inc

AI Research Scientist

Austin, TX · On-site

Design, train, and optimize machine learning models including LLMs, multimodal models, transformers, and diffusion architectures * Conduct research on model efficiency, quantization, compression, and ...

Avride

Machine Learning Engineer

Austin, TX

... and Multimodal Large Language Models (MLLMs). These models power both onboard and offboard ... About the role We are looking for an experienced Machine Learning Engineer with a strong background ...

Avride

Machine Learning Engineer

Austin, TX · On-site

... and Multimodal Large Language Models (MLLMs). These models power both onboard and offboard ... Design, implement, and refine deep learning models to ensure efficiency, scalability, and ...

Avride

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124K - $171K/yr

... and Multimodal Large Language Models (MLLMs). These models power both onboard and offboard ... About the role We are hiring experienced Machine Learning Engineers across Senior, Staff, and ...

Avride

Senior / Staff Machine Learning Engineer

Austin, TX

$124K - $171K/yr

... and Multimodal Large Language Models (MLLMs). These models power both onboard and offboard ... About the role We are hiring experienced Machine Learning Engineers across Senior, Staff, and ...

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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 are popular job titles related to Multimodal Learning jobs in Texas? For Multimodal Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Multimodal Learning jobs in Texas look for? The top searched job categories for Multimodal Learning jobs in Texas are:
What cities in Texas are hiring for Multimodal Learning jobs? Cities in Texas with the most Multimodal Learning job openings:
Multimodal Learning jobs near you
Infographic showing various Multimodal Learning job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.
Learning Experience Designer (Temporary)

Learning Experience Designer (Temporary)

Baylor University

Waco, TX • On-site

$68K - $70K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 6 days ago

Baylor University rating

7.2

Company rating: 7.2 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

384th of 612 rated colleges and universities

Job description


A humble college founded before Texas was a state, Baylor now stands as one of the premier institutions of higher education in the world. Baylor has continued to invest in research and doctoral education, both solidifying and elevating its unique status as a preeminent Christian research university. Baylor is among 187 R1 institutions, just 52 of which are private universities.
Since 2011, Baylor has been named as one of the nation's "Great Colleges to Work For". Great Colleges to Work For® is one of the country's largest and most respected workplace recognition programs. Each year, Great Colleges recognizes the colleges and universities that get top employee ratings regarding workplace practices and policies across 10 areas. This recognition is based on faculty and staff responses to a related annual survey. The survey, conducted by ModernThink, is a way for colleges and universities to gain a deeper understanding of how their employees experience and view various aspects of the institution. This continued recognition further affirms Baylor as a rewarding place to build a career.
What We Are Looking For
Reporting to the Assistant Director of Learning Design, the Learning Experience Designer is an active member of the Library and Academic Technology Services (LATS) Learning Design Team and works in close collaboration with the Assistant Director of Learning Design, faculty, and other key stakeholders to design and develop high-quality innovative courses in support of multimodal learning. The successful candidate demonstrates expertise, innovation, and proficiency in applying learning theory, design models, and best practices to develop engaging online learning experiences for Baylor students. The successful candidate actively manages multiple projects concurrently and can move projects with many stakeholders involved forward while effectively managing scope, quality, and timeline deliverables. The successful candidate adheres to OLC OSCQR quality standards and showcases competency in effectively organizing digital content using learner-centered design principles. The Learning Experience Designer is well-versed in the application of pertinent technology tools to support instruction and to promote meaningful and diverse connections in the online learning environment.
This will be a remote position and is expected to end in November 2027.
*All applicants must be currently authorized to work in the United States on a full-time basis.
Qualifications:
Required:
  • Masters of Instructional Design or related field of study
  • Three years of relevant professional experience
  • A combination of education and experience will be considered in lieu of the degree requirement
  • Demonstrated experience as an innovative Learning Experience/Instructional Designer
  • Strong understanding of instructional design models and principles, educational theory, and instructional technology
  • Experience developing engaging instructional materials in Canvas or other learning management systems such as Blackboard, D2L, Moodle, etc.
  • Strong communication skills

Preferred
  • Ph.D./Ed.D. in Instructional Design - Higher education teaching experience
  • Proficiency in the Adobe Creative Suite and Articulate 360

Application Materials: cover letter, resume, three professional references, and samples of Instructional Design work
What You Will Do
  • Collaborate with faculty on the development of engaging learner-centered course materials for in-person, online, and hybrid courses
  • Provide pedagogical and curricular consultation and design following online design best practices and the OLC OSCQR rubric
  • Act as project manager for the design and development of online and hybrid courses
  • Work collaboratively with key stakeholders of online course development
  • Manage multiple tasks/projects in a team-oriented environment
  • Maintain working knowledge of current and emerging technologies
  • Maintain working knowledge of trends and issues facing higher education and how instructional design can assist
  • Assist faculty with periodic quality review of course materials
  • Contribute to and support the creation of new digital learning assets, assignments, trainings, and instructional design materials
  • Perform all other duties as assigned to support Baylor's mission
  • Ability to comply with University policies
  • Maintain regular and punctual attendance

What You Can Expect
As part of the Baylor family, eligible employees receive a comprehensive benefits package that includes medical, dental, and vision insurance, generous time off, tuition remission, and outstanding automatic retirement contributions. Baylor has a comprehensive benefits plan that supports you and your family's wellbeing and allows you to be a part of the life of a vibrant and active college campus. To learn more, go to Baylor Benefits & Advantages.
The budgeted salary or hourly range that the University reasonably expects to pay for this position is $68,000 - $70,000. The full salary range for this position classification is $51,569.56 - $85,089.77.
This range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to experience, skills, knowledge, abilities, education, licensure and certification, analysis of internal equity, and other business and organizational needs.
Explore & Engage
Learn more about Baylor and our strategic vision, Illuminate. Also, explore our great hometown of Waco and the many opportunities to engage locally. If you are new to Central Texas, This is Waco!
About Us
Baylor University, a private not-for-profit university affiliated with the Baptist General Convention of Texas, is committed to compliance with all applicable anti-discrimination laws, including those regarding age, race, color, sex, national origin, military service, genetic information, and disability. Baylor complies with statutory Affirmative Action/Equal Opportunity requirements. Baylor's full official Notice of Non-Discrimination may be read online.

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