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Multimodal Learning Jobs in Venice, FL (NOW HIRING)

HCRC Staffing

Physician Assistant Sarasota FL

Sarasota, FL · On-site

$96K - $130K/yr

Join a team committed to continuous learning and professional development with opportunities for ... Utilizes a multimodal approach to include but not limited to medication, physical therapy and ...

All JobsMultimodal Learning JobsMultimodal Learning Jobs in Venice, FL

Multimodal Learning information

See Venice, FL salary details

$19.8K

$58.1K

$107.8K

How much do multimodal learning jobs pay per year?

As of Aug 30, 2026, the average yearly pay for multimodal learning in Venice, FL is $58,063.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,600.00 and $67,800.00 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 job categories do people searching Multimodal Learning jobs in Venice, FL look for?

The top searched job categories for Multimodal Learning jobs in Venice, FL are:

What cities near Venice, FL are hiring for Multimodal Learning jobs?

Cities near Venice, FL with the most Multimodal Learning job openings:

Multimodal Learning jobs near you

TSI/SSBI/SCI - AI/ML -Software Engineer - Sensing Systems - Sarasota.FL

Henpen Corporation

Sarasota, FL • On-site

$100 - $150/hr

Other

Posted 11 days ago

Job description

TSI/SSBI/SCI - AI/ML -Software Engineer - Sensing Systems - Sarasota.FL
  • Sarasota, Florida

Must be TSI/SSBI/SCI to move forward. if not, your application will not be considered.

Sarasota, Florida, USA

Job Description

We are looking for an engineer with a solid foundation in artificial intelligence and machine learning applications to help us solve challenging problems related to signal processing.

The right candidate will have a high degree of drive and dedication, and the ability to learn quickly, work well within a team, and hit the ground running.

Qualifications
  • BS degree or higher in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or related field
  • Minimum 1-year hands‑on experience in AI or ML in a professional environment (3-5 years preferred)
  • Strong knowledge of machine learning model development, deployment, and modern ML libraries (TensorFlow, PyTorch, scikit-learn, etc.)
  • Solid programming background with experience using statistical and signal analysis libraries
  • Experience with neural network architectures including deep learning models
  • Understanding of transformer architectures and attention mechanisms
  • Strong understanding of MLOps, deployment and processing pipelines, testing/validation
  • TS/SCI active clearance required.
  • U.S. Citizenship required
Nice to have, but not required:
  • Understanding of digital signal processing fundamentals
  • Experience with RFML
  • Experience with Large Language Models (LLMs) including fine-tuning and prompt engineering
  • Knowledge of AI applications for autonomous decision-making and analysis
  • Additional consideration for experience with multimodal, agentic systems using RAG, COT, or MARL approaches
  • Experience with reinforcement learning, human feedback, and related system learning methods
  • Experience creating and deploying containerized AI models with Docker/Kubernetes
  • Working with cloud AI platforms (AWS Bedrock, Azure OpenAI, Google Vertex AI)
  • Experience with model monitoring, A/B testing, and performance optimization
  • Experience with real-time inference systems and low-latency model serving
  • Knowledge of adversarial ML and AI security/robustness techniques
  • Experience with graph neural networks for network analysis
  • Experience in design, deployment, support of AI or ML model for significant real-world applications
Job Duties:
  • You will be responsible for designing, developing, and implementing AI/ML solutions for a wide range of decision-making and SIGINT processing needs.
  • This includes working with time-series data and developing models for event characterization, pattern recognition, anomaly detection, decision making, and automated analysis of SIGINT sensor systems.
  • You will work with team leads to integrate AI/ML capabilities into enterprise architectures, ensuring performant processing while considering aspects of accuracy, security, and maintainability.
  • This also includes enabling autonomous decision-making systems that can operate with minimal human intervention, creating adaptive processing systems for dynamic environments, and discovering features and inferring system states from the underlying data streams.
  • You will work towards solutions for large-scale sensing systems, implementing tailored models deliver intelligent insights in support of critical Intelligence Community and Department of Defense missions.

FULL RELOCATION plus Industry best benefits & stock.

Why is This a Great Opportunity

We are looking for an engineer with a solid foundation in artificial intelligence and machine learning applications to help us solve challenging problems related to signal processing.

The right candidate will have a high degree of drive and dedication, and the ability to learn quickly, work well within a team, and hit the ground running.

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