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Deep Learning Ai Jobs in Silver Spring, MD (NOW HIRING)

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AI Learning Specialist

Windsor Mill, MD · Remote

$150K - $170K/yr

We are looking for an AI Learning Specialist who combines deep technical knowledge with a talent for crafting and delivering accessible learning experiences for all. Join us in a vibrant and ...

Metric5

AI Learning Specialist

Baltimore, MD · On-site

$150K - $170K/yr

We are looking for an AI Learning Specialist who combines deep technical knowledge with a talent for crafting and delivering accessible learning experiences for all. Join us in a vibrant and ...

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$86.7K

$144.7K

How much do deep learning ai jobs pay per year?

As of May 31, 2026, the average yearly pay for deep learning ai in Silver Spring, MD is $86,719.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,400.00 and $143,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Deep Learning AI Engineer, and why are they important?

To thrive as a Deep Learning AI Engineer, you need a strong background in mathematics, programming (especially Python), and experience with neural networks, typically supported by a degree in computer science, engineering, or a related field. Proficiency with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of tools like CUDA for GPU acceleration, are essential; relevant certifications can be advantageous. Analytical thinking, creativity, and effective communication are important soft skills for solving complex problems and collaborating with cross-functional teams. These skills and qualities are crucial for building robust AI models and driving innovation in this rapidly evolving field.

What are some common challenges faced by professionals working in Deep Learning AI, and how can they be addressed?

Professionals in Deep Learning AI often encounter challenges such as managing large datasets, ensuring model accuracy, and addressing issues like overfitting. Collaboration with data engineers and domain experts is crucial to ensure high-quality data and relevant feature selection. Additionally, staying up-to-date with rapidly evolving frameworks and algorithms requires continuous learning and participation in knowledge-sharing within the team. Regular code reviews and experimentation with different architectures can help overcome technical obstacles and improve model performance.

What are Deep Learning AI professionals?

Deep Learning AI professionals are experts who design, develop, and implement artificial intelligence systems that use deep neural networks to analyze complex data and solve tasks such as image recognition, natural language processing, and autonomous decision-making. They work with large datasets and advanced algorithms to build models that can learn and improve over time. These professionals often have a background in computer science, mathematics, or engineering, and are skilled in programming languages like Python and frameworks such as TensorFlow or PyTorch.

What is the difference between Deep Learning Ai vs Machine Learning Engineer?

AspectDeep Learning AiMachine Learning Engineer
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of neural networksDegree in Computer Science, Data Science, or related fields; programming skills in Python, R
Work EnvironmentResearch labs, AI development teams, tech companies focusing on AI modelsSoftware development teams, data analysis projects across various industries
Industry UsagePrimarily in AI research, autonomous systems, NLP, computer visionAcross industries for predictive modeling, data analysis, automation

Deep Learning Ai specialists focus on designing and implementing neural network models for complex AI tasks, often requiring advanced knowledge of deep neural networks. Machine Learning Engineers develop broader machine learning models, including traditional algorithms. While both roles require similar educational backgrounds, Deep Learning Ai roles are more specialized in neural networks and AI research, whereas Machine Learning Engineers work across a wider range of algorithms and applications.

What are popular job titles related to Deep Learning Ai jobs in Silver Spring, MD? For Deep Learning Ai jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Deep Learning Ai jobs in Silver Spring, MD look for? The top searched job categories for Deep Learning Ai jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Deep Learning Ai jobs? Cities near Silver Spring, MD with the most Deep Learning Ai job openings:
Deep Learning Ai jobs near you
Applications Engineer (Deep Learning/Machine Learning)

Applications Engineer (Deep Learning/Machine Learning)

Brillient

Reston, VA

Full-time

Posted 24 days ago

Job description

Brillient Corporation is seeking an Applications Engineer (Deep Learning/Machine Learning) to join its team in Reston, Virginia to work on client facing projects as well as internal projects.

Description:The Applications Engineer will work on intelligent automation, and AI/cognitive applicationsincluding machine learning and deep learning techniques. He/shewill interface with non-technical users to document requirements, develop applications using an agile development process and be in charge of deployment and operations. Opportunities to learnand applynext generation technologies in the areas ofAI,machine learning and block-chain.

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