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Multimodal Learning Jobs in Maryland (NOW HIRING)

Consultations with subject matter experts, faculty, and staff allow the successful candidate to partner with stakeholders to design curriculum, develop multimodal courses, and create learning ...

Machine Learning Engineer

Berlin, MD · On-site

$79.93 - $137.02/hr

Develop and optimise multimodal networks fusing LiDAR, radar, and camera data for off-highway ... Practical experience deploying deep learning models in real time on embedded hardware (TensorRT ...

Lead AI Engineer

Rockville, MD · On-site

$104K - $137K/yr

The role will architect multimodal ingestion, retrieval-augmented generation, and LLM-driven ... Experience Requirements * 8+ years in software engineering or machine learning with production AI ...

Lead AI Engineer

Rockville, MD · On-site

$104K - $137K/yr

The role will architect multimodal ingestion, retrieval-augmented generation, and LLM-driven ... Experience Requirements: * 8+ years in software engineering or machine learning with production AI ...

Lead AI Engineer

Rockville, MD · On-site

$104K - $137K/yr

The role will architect multimodal ingestion, retrieval-augmented generation, and LLM-driven ... Experience Requirements: * 8+ years in software engineering or machine learning with production AI ...

$126 - $178/hr

... multimodal patient‑state modeling and develop reference implementations. * Apply advanced paradigms--including self‑supervised, contrastive, multi‑task learning, and cross‑modal fusion--to ...

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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 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 cities in Maryland are hiring for Multimodal Learning jobs? Cities in Maryland with the most Multimodal Learning job openings:

$35/hr

Part-time

Re-posted 15 days ago


Job description

Position Information
About Us
Howard Community College (HCC) is an exciting place to work, learn, and grow! We are proud to have received the Great Colleges to Work For honor for 12 consecutive years, 2009-2020.
Howard Community College values diversity among its faculty, staff and student population. We are an innovative institution that is committed to responding to the ever-changing needs and interests of a diverse and dynamic community. No matter where you want to go in your career, you can get there from here!

Position Title Learning Designer FLSA Non-Exempt FT/PT Part Time Hours Per Week 20-25 Work Schedule Monday-Friday Position Salary Range $35 hourly Summary
The Learning Designer reports to the Director, Center for Learning Excellence (CLE) and works closely with CLE and Workforce, Career & Community Education (WCCE) teams. The position provides synchronous and asynchronous training and professional development. Consultations with subject matter experts, faculty, and staff allow the successful candidate to partner with stakeholders to design curriculum, develop multimodal courses, and create learning materials to support the mission of the WCCE. 

This position will support current online applications used by faculty and staff to include instructional design components. The position will require some schedule flexibility to include time in the evenings and weekends. The successful candidate will be dynamic and flexible, able to multitask and adjust to varying needs, be proficient in customer service, and demonstrate excellent communication skills.  
This is not a remote position. 
Essential Role Responsibilities
  • Consult and collaborate with faculty, administrators, and instructional staff centrally in WCCE to design, develop, and evaluate of instructional courses, programs, materials, methods, student support systems, teaching and assessment techniques 
  • Manage individual and group projects 
  •  Assess online course and program using HCC's course design evaluation tool 
  • Train and mentor to faculty and staff in technology and instructional design best practices 
  • Develop user guides, self-help documentation, and tutorials for online and offline use 
  • Work with the CLE team to identify, develop, and deploy training schedules and sessions 
  • Work with CLE team to assist users with technical issues 
  • Assists in Leaming Management Systems (LMS) administration and maintenance, especially regarding the WCCE subaccount 
  • Assist with general departmental needs 
  • Other duties as assigned 

Minimum Education Required Bachelor's degree Experience Required Minimum and Preferred Qualifications
  • Bachelors' degree in a field related to instructional design/technology or education or online learning. (Master's degree preferred) 
  • Two years of experience providing professional development and instructional design and development. (preferred) 
  • Higher education experience (preferred) 
  • Ability to research and develop education tools, technologies, best practices that enhance student learning outcomes 
  • Excellent attention to detail and the ability to multitask under strict deadlines in a fast-paced environment 
  • Ability to work independently and as part of a team 
  • Excellent verbal and written communication skills and the ability to interact professionally and build strong relationships with a diverse group of users and support staff. 
  • Deep instructional design knowledge and application with the ability to convert this into engaging learning experiences. 
  • Experience writing strategic learning plans for curriculum. 
  • Apply ADDIE principles to meet course goals and/or training objectives. 
  • Proven eLearning design and development experience with designing, developing, and delivering online and blended learning solutions. 
  • Excellent analytic and evaluation skills 
  • Competent and knowledgeable in online content authoring tools as well as digital editing tools 
  • Competent and knowledgeable using a Learning Management Systems (e.g. Canvas and/or Blackboard) 
  • Familiarity with computer related ADA requirements and ability to incorporate features to comply with Section 508. 

Physical Demand Summary Division Workforce, Career, & Community Education Department Workforce Career & Community Education
Posting Detail Information
Posting Number NB292P Number of Vacancies 1 Best Consideration Date Job Open Date 05/28/2026 Job Close Date Continuous Recruitment? Applicant Instructions
*Pre-employment criminal background investigation is a condition of employment.
HCC is interested in all qualified applicants who are eligible to work in the United States. However, HCC will generally not sponsor applicants for work visas. Due to HCC policy, only employees living in states contiguous to Maryland are eligible for work at HCC and include Virginia, West Virginia, Washington DC, Pennsylvania. Candidates must live in the commutable area or willing to relocate at their own expense if offered the position because HCC does not offer relocation benefits.
Please complete the entire HCC Employment Application (Candidates will be evaluated on completing the college's application in full).
Quick Link for Internal Postings https://howardcc.peopleadmin.com/postings/5848 EEO Statement
Howard Community College (HCC) is an Equal Employment Opportunity & Affirmative Action employer & values diversity within its faculty, staff & student population. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, gender, sexual orientation, gender identity, genetic information, disability or protected veteran status.
HCC understands that persons with specific disabilities may need assistance with the job application process and/or with the interview process. For confidential assistance with the job application process, please contact the Office of Human Resources at 443-518-1100.