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Multimodal Learning Jobs in Washington, DC (NOW HIRING)

RedBeard Solutions

Platform Data Scientist

Washington, DC · On-site

$175K - $180K/yr

Hands-on experience working with OpenAI GPT models and multimodal LLMs. * Experience building end-to-end machine learning pipelines using Python. * Knowledge of knowledge graphs, ontologies, semantic ...

Thomson Reuters

Data Scientist

Mclean, VA · On-site +1

The platform serves as an essential tool for investigators and leverages machine learning, computer vision, natural language processing (NLP), embeddings, large language models (LLMs), multimodal ...

THOMSON REUTERS

Data Scientist

Mclean, VA · On-site

The platform serves as an essential tool for investigators and leverages machine learning, computer vision, natural language processing (NLP), embeddings, large language models (LLMs), multimodal ...

Hatch IT

AI/ML Engineer

Washington, DC · Remote

$130K - $170K/yr

The ideal candidate has strong expertise in applied machine learning, modern LLM technologies, edge ... Support experimentation involving multimodal data sources, sensor-derived features, and structured ...

Expression Networks

AI/ML Engineer

Washington, DC · On-site

$130K - $170K/yr

The ideal candidate has strong expertise in applied machine learning, modern LLM technologies, edge ... Support experimentation involving multimodal data sources, sensor-derived features, and structured ...

Expression

AI/ML Engineer

Washington, DC · On-site +1

$130K - $170K/yr

The ideal candidate has strong expertise in applied machine learning, modern LLM technologies, edge ... Support experimentation involving multimodal data sources, sensor-derived features, and structured ...

Expression

AI/ML Engineer

Washington, DC · On-site

$130K - $170K/yr

The ideal candidate has strong expertise in applied machine learning, modern LLM technologies, edge ... Support experimentation involving multimodal data sources, sensor-derived features, and structured ...

Hatch IT

AI/ML Engineer

Washington, DC

$130K - $170K/yr

The ideal candidate has strong expertise in applied machine learning, modern LLM technologies, edge ... Support experimentation involving multimodal data sources, sensor-derived features, and structured ...

CYNET SYSTEMS

Senior Data Scientist

Washington, DC · On-site

$65/hr

Master's or PhD in Computer Science, Data Science, Machine Learning, AI, or related field. * 8+ ... Design, build, and optimize Generative AI, LLM, and multimodal foundation models for enterprise ...

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Showing results 41-60

All JobsMultimodal Learning JobsMultimodal Learning Jobs in Washington, DC

Multimodal Learning information

See Washington, DC salary details

$23.8K

$69.9K

$129.7K

How much do multimodal learning jobs pay per year?

As of Aug 11, 2026, the average yearly pay for multimodal learning in Washington, DC is $69,872.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,400.00 and $81,500.00 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 Washington, DC? For Multimodal Learning jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Multimodal Learning jobs in Washington, DC look for? The top searched job categories for Multimodal Learning jobs in Washington, DC are:
Multimodal Learning jobs near you
Infographic showing various Multimodal Learning job openings in Washington, DC as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 3% Part Time, 1% Temporary, and 1% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $69,872 per year, or $33.6 per hour.

Platform Data Scientist

RedBeard Solutions

Washington, DC • On-site

$175K - $180K/yr

Full-time

Posted 25 days ago

Job description

Job Title: Platform Data Scientist

Location: Boston, Chicago, Denver, New Jersey, New York City, Silicon Valley, Washington DC

Experience: 3+ years of experience as a Data Scientist; Previous enterprise platform experience preferred

Salary: $175-180,000 (+ 15k Annual Performance Bonus)

Clearance: Secret, TS Strongly Preferred

About the Opportunity

Building a next-generation AI platform supporting mission-critical government and defense initiatives. This is an opportunity to join a highly technical team working on advanced AI capabilities that leverage Generative AI, large language models, and knowledge graphs to solve complex real-world problems.

If you're passionate about building production-grade AI solutions and enjoy working at the intersection of data science, software engineering, and emerging AI technologies, we'd love to speak with you.

What You'll Be Doing

  • Develop and deploy AI and machine learning solutions that transform large volumes of structured and unstructured data into actionable insights.

  • Design, build, and optimize production-ready NLP and Generative AI pipelines using modern LLM technologies.

  • Work with multimodal language models to support intelligent search, knowledge discovery, content generation, and automation.

  • Build predictive models, recommendation engines, classification models, and semantic retrieval solutions.

  • Create and maintain knowledge graphs and ontologies that improve how enterprise data is connected and consumed.

  • Partner closely with software engineers, product teams, and domain experts to move AI solutions from experimentation into production.

  • Continuously evaluate, fine-tune, and improve model performance while maintaining high standards for quality and scalability.

What We're Looking For

  • U.S. Citizenship is required.

  • Active Secret Security Clearance (Top Secret preferred).

  • 3+ years of professional experience as a Data Scientist.

  • Prior experience building enterprise AI or data platforms is highly desirable.

  • Strong understanding of NLP, Transformers, LLMs, and Generative AI.

  • Hands-on experience working with OpenAI GPT models and multimodal LLMs.

  • Experience building end-to-end machine learning pipelines using Python.

  • Knowledge of knowledge graphs, ontologies, semantic modeling, or graph-based data solutions.

  • Experience using Git and modern software development practices.

  • Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.

Preferred Background

  • Experience supporting Defense or Public Sector programs.

  • Experience working with data across classified environments.

  • Comfortable collaborating within cross-functional engineering and product teams.

  • A systems thinker who enjoys solving complex technical challenges and building scalable AI solutions from concept through production.