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Multimodal Learning Jobs in Atlanta, GA (NOW HIRING)

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

The ideal candidate would have a strong background in deep learning, both in terms of conceptual ... Multimodal representations (audio-video, audio-text, audio-video-text). * Multimodal AI ...

The ideal candidate would have a strong background in deep learning, both in terms of conceptual ... Multimodal AI architectures, with a focus on generating audio, music, and speech (text-to-audio ...

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

... 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-visual ...

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 ...

We are seeking a talented Senior Multimodal AI Researcher to join the Multimodal Experiences Lab ... You will work at the intersection of deep learning, perceptual modeling, and media signal ...

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 ...

Create multimodal foundation models for XR, with audio focus. * Develop and combine deep learning methodologies with perceptually relevant signal processing and metrics. * Partner with ATG ...

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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 Sep 2, 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 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 cities near Atlanta, GA are hiring for Multimodal Learning jobs?

Cities near Atlanta, GA with the most Multimodal Learning job openings:

Senior Enablement Advisor Manager

Infor Inc.

Atlanta, GA โ€ข On-site

$120 - $180/hr

Other

Re-posted 12 hours ago


Job description

Senior Enablement Advisor Manager

Department: Education

Employment Type: Full Time

Location: Atlanta

Description

The Global Employee Enablement Advisor, Senior Manager is the strategic employee learning partner and first point of contact for multiple functions and teams including Finance, Strategy & Operations, Legal, Marketing, HR, Executive Administration, and Corporate Operations.

This Advisor, Senior Manager must simultaneously hold the context, priorities, and enablement roadmaps of seven distinct business functions, navigating competing timelines, different capability maturity levels, and varied stakeholder cultures, while maintaining the credibility and trust of each. The Employee Enablement Advisor, Senior Manager diagnoses skill gaps, aligns learning solutions to KPIs, and serves as the accountable owner for employee enablement outcomes across all supported functional teams.Rather than fielding and satisfying ad hoc requests, the Employee Enablement Advisor, Senior Manager ensures each employee enablement initiative begins with a clear understanding of the business problem, a validated skill gap, and an agreed upon definition of success before anything is designed or delivered.

This role also brings a portfolio-level view of enablement, actively managing employee learning prioritization across functions, identifying shared enablement opportunities, and making transparent trade-off decisions when capacity and resources require it.

A Typical Day in the Life Includes:
  • Build and maintain trusted relationships with Corporate leadership, HR business partners, Accountable Role Owners, and other key stakeholders.
  • Proactively identify skill gaps, performance challenges, and employee enablement opportunities.
  • Represent each of the functionsโ€™ enablement needs in planning cycles and prioritization conversations.
  • Manage an active portfolio of enablement initiatives across seven functions simultaneously, making deliberate prioritization decisions and communicating trade-offs transparently to functional leaders and the VP.
  • Identify shared capability needs and proactively propose consolidated or enterprise-wide solutions where appropriate, reducing duplication and maximizing impact.
  • Define the capability-specific employee learning approach and recommended interventions, then partner with Infor U COEs and Global Employee Enablement Programs & PM and Delivery teams to execute.
Basic Qualifications:
  • Translate business goals and functional KPIs into multimodal learning journeys
  • Incorporate third-party content, internal programs and courses, embedded workflow learning, and peer development.
  • Ensure skills mapping and learning paths reflect what employees need to be effective in their roles.
  • Collaborate with Infor U portfolio team and the broader Learning Governance team for content development as needed.
  • Define success metrics up front, including which KPIs will move and by how much.
  • Track and report on skill development, performance outcomes, and business impact, beyond baseline completion rates.
  • Bring learning effectiveness data back to functional leadership teams and accountable role owners through regular review cadences in partnership with the Learning Experience & Engagement team.
  • Legal authorization to work permanently in the United States for any employer without requiring a visa transfer or visa sponsorship.
Preferred Qualifications:
  • Experience in learning and development, HR consulting, or organizational effectiveness, with demonstrated experience supporting multiple business functions or a broad portfolio of stakeholders simultaneously, preferred.
  • 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.
  • Comfort with data, including defining KPIs, measuring outcomes, and translating learning impact into business language.
  • Experience working in and/or supporting multiple distinct business functions (e.g., Finance, Legal, HR, Marketing) is strongly preferred; the ability to quickly build credibility across functions is essential.
  • Demonstrated ability to manage a complex, multi-stakeholder portfolio, including balancing competing priorities, making visible trade-off decisions, and maintaining strong relationships across functions while delivering equitable levels of service.
  • Familiarity with Principle Based Management (PBM) is helpful, including applying its dimensions in daily advisory work and grounding recommendations in mutual benefit and contribution.
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