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Multimodal Learning Jobs in Atlanta, GA (NOW HIRING)

Senior Enablement Advisor Manager

Atlanta, GA · On-site

$104K - $142K/yr

Translate business goals and functional KPIs into multimodal learning journeys * Incorporate third-party content, internal programs and courses, embedded workflow learning, and peer development.

Combine deep learning with perceptually grounded approaches (signal processing, human perception, and quality metrics) * Build prototypes and evaluate systems using both objective metrics and human ...

... learning with decades of leadership in perceptual signal processing. In this role, you will develop ... What You Will Accomplish • Design and develop novel multimodal AI models for immersive audio ...

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $165/hr

Machine Learning Engineer Employment Type: Full Time Location: Atlanta, GA Description We are ... Google Gemini (multimodal reasoning, advanced RAG integration). * Meta LLaMA (fine‑tuned/custom ...

Machine Learning Engineer Employment Type: Full Time Location: Atlanta, GA Description We are ... Google Gemini (multimodal reasoning, advanced RAG integration). * Meta LLaMA (fine-tuned/custom ...

Summary You will push the boundaries of the state-of-the-art in audio and multimodal technologies. The ideal candidate would have a strong background in deep learning, both in terms of conceptual ...

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Showing results 1-20

Multimodal Learning information

See Atlanta, GA salary details

$20.2K

$59.3K

$110.1K

How much do multimodal learning jobs pay per year?

As of Aug 10, 2026, the average yearly pay for multimodal learning in Atlanta, GA is $59,327.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,400.00 and $69,200.00 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 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 are popular job titles related to Multimodal Learning jobs in Atlanta, GA? For Multimodal Learning jobs in Atlanta, GA, the most frequently searched job titles are:
What cities near Atlanta, GA are hiring for Multimodal Learning jobs? Cities near Atlanta, GA with the most Multimodal Learning job openings:

Global Employee Enablement Advisor, Manager

Infor

Atlanta, GA • On-site

Full-time

Posted 20 days ago


Job description

Global Employee Enablement Advisor, Manager
Department: Education
Employment Type: Full Time
Location: Atlanta
Description
The Global Employee Enablement Advisor, Manager is the strategic employee learning partner and first point of contact for Customer Success Experience (CSX). CSX helps customers achieve successful business outcomes and realize the full value of their Infor solutions. The function brings together Customer Success, Customer Support, Global Education & Enablement, and Customer Success Operations & Transformation to strengthen customer health, adoption, value realization, and long-term retention.
A Typical Day in the Life Includes:
  • Build and maintain trusted relationships with CSX leaders, HR business partners, Accountable Role Owners, and other key stakeholders
  • Proactively identify skill gaps, performance challenges, and employee enablement opportunities
  • Represent CSX's enablement needs in planning cycles and prioritization conversations
  • Conduct thorough needs assessments using structured diagnostic frameworks before recommending any solution
  • Translate business goals and CSX's KPIs into multimodal learning journeys.
  • Incorporate third-party content, internal programs and courses, embedded workflow learning, and peer development.

Basic Qualifications:
  • Experience in learning and development, HR consulting, or organizational effectiveness in the technology industry.
  • Consulting skills, including needs assessment, root-cause diagnosis, and solution design grounded in business context.
  • Stakeholder management, negotiation, mediation, and respectful challenge skills with business leaders and senior executives.
  • Experience proposing and implementing high-value, multimodal learning solutions beyond traditional instructor-led training.
  • Experience with data, including defining KPIs, measuring outcomes, and translating learning impact into business language.
  • Experience with a variety of learning platforms and tools such as LMS, Udemy, and others is a plus.
  • Experience working in and/or supporting a specific business function such as R&D, Sales, or Finance.
  • Legal authorization to work permanently in the United States for any employer without requiring a visa transfer or visa sponsorship.

Preferred Qualifications:
  • Experience working in a software or technology company.
  • Consulting and/or project management experience.
  • Experience with Principle Based Management (PBM) is helpful, including applying its dimensions in daily advisory work and grounding recommendations in mutual benefit and contribution.

Location: Hybrid role 3 days in office (Atlanta, GA; Dallas, TX)