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Deep Learning Quantization Jobs in Silver Spring, MD

Markon

Data Scientist Level 4

Fort George G Meade, MD · On-site

$220K - $235K/yr

Deep understanding of machine learning architectures, model selection, training, and optimization ... Strong background in AI/ML performance optimization, including model compression, quantization, or ...

Markon

Data Scientist Level 4

Fort George G Meade, MD · On-site

$220K - $235K/yr

Deep understanding of machine learning architectures, model selection, training, and optimization ... Strong background in AI/ML performance optimization, including model compression, quantization, or ...

Entarian

MLOps Engineer

Arlington, VA · On-site

Deploy and manage machine learning models in production using tools like MLflow, Kubeflow, or AWS ... Optimize models for production (e.g., via quantization or pruning) and ensure efficient resource ...

Entarian

MLOps Engineer

Arlington, VA · On-site

Deploy and manage machine learning models in production using tools like MLflow, Kubeflow, or AWS ... Optimize models for production (e.g., via quantization or pruning) and ensure efficient resource ...

Entarian

MLOps Engineer

Arlington, VA · On-site

Deploy and manage machine learning models in production using tools like MLflow, Kubeflow, or AWS ... Optimize models for production (e.g., via quantization or pruning) and ensure efficient resource ...

Entarian

MLOps Engineer

Arlington, VA · On-site

Deploy and manage machine learning models in production using tools like MLflow, Kubeflow, or AWS ... Optimize models for production (e.g., via quantization or pruning) and ensure efficient resource ...

Entarian

MLOps Engineer

Arlington, VA · On-site

Deploy and manage machine learning models in production using tools like MLflow, Kubeflow, or AWS ... Optimize models for production (e.g., via quantization or pruning) and ensure efficient resource ...

Entarian

MLOps Engineer

Arlington, VA · On-site

Deploy and manage machine learning models in production using tools like MLflow, Kubeflow, or AWS ... Optimize models for production (e.g., via quantization or pruning) and ensure efficient resource ...

Entarian

MLOps Engineer

Arlington, VA · On-site

Deploy and manage machine learning models in production using tools like MLflow, Kubeflow, or AWS ... Optimize models for production (e.g., via quantization or pruning) and ensure efficient resource ...

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All JobsDeep Learning Quantization JobsDeep Learning Quantization Jobs in Silver Spring, MD

Deep Learning Quantization information

See Silver Spring, MD salary details

$11.4K

$86.7K

$144.7K

How much do deep learning quantization jobs pay per year?

As of Jul 15, 2026, the average yearly pay for deep learning quantization 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 Quantization Engineer, and why are they important?

To excel as a Deep Learning Quantization Engineer, you need a strong background in machine learning, applied mathematics, and computer science, usually supported by an advanced degree in a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), quantization toolkits, and hardware acceleration platforms is crucial. Analytical thinking, problem-solving, and clear technical communication are standout soft skills in this role. These abilities are essential for efficiently optimizing models for deployment on resource-constrained hardware while maintaining accuracy and performance.

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

AspectDeep Learning QuantizationMachine Learning Engineer
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; knowledge of neural networksBachelor's or Master's in CS, Data Science, or related fields; programming skills
Work EnvironmentResearch labs, AI development teams, hardware optimization settingsSoftware development teams, data-driven projects, product-focused environments
Industry UsageAI hardware optimization, model deployment, edge computingModel development, data analysis, software solutions across industries

Deep Learning Quantization focuses on reducing model size and improving inference speed through techniques like weight and activation quantization, often in hardware or embedded systems. Machine Learning Engineers develop, implement, and optimize machine learning models for various applications. While both roles require knowledge of AI and programming, Deep Learning Quantization is more specialized in model optimization techniques, whereas Machine Learning Engineers work broadly on model development and deployment.

What is deep learning quantization?

Deep learning quantization is the process of reducing the precision of the numbers used to represent a neural network's parameters, activations, or both. By converting the typically used 32-bit floating-point values to lower bit-width formats such as 16-bit or 8-bit integers, quantization significantly reduces the memory footprint and computational requirements of deep learning models. This technique helps deploy models efficiently on edge devices and mobile hardware while maintaining acceptable accuracy levels. Quantization is widely used in model optimization for faster inference and lower power consumption.

What are some common challenges faced when implementing deep learning quantization in production environments?

One of the main challenges in implementing deep learning quantization is balancing model accuracy with computational efficiency, as quantization can sometimes lead to a drop in model performance. Additionally, ensuring hardware compatibility and optimizing for different devices (such as CPUs, GPUs, or edge devices) can require extensive testing and tuning. Collaboration with data scientists, software engineers, and hardware specialists is often essential to successfully deploy quantized models at scale. Staying updated with the latest quantization techniques and frameworks is also important for overcoming these challenges.
What are popular job titles related to Deep Learning Quantization jobs in Silver Spring, MD? For Deep Learning Quantization jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Deep Learning Quantization jobs in Silver Spring, MD look for? The top searched job categories for Deep Learning Quantization jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Deep Learning Quantization jobs? Cities near Silver Spring, MD with the most Deep Learning Quantization job openings:
Deep Learning Quantization jobs near you

Data Scientist Level 4

Markon

Fort George G Meade, MD • On-site

$220K - $235K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description

Description
Markon is seeking a Data Scientist to support the Fort Meade Customer by designing and implementing advanced AI/ML and data science solutions across multiple mission domains . The position requires architecting Agentic AI systems and customized Retrieval-Augmented Generation (RAG) solutions, while also optimizing machine learning models for resource-constrained edge environments. This role requires deep technical judgment to select, evaluate, and implement the most effective AI/ML approaches for mission-specific performance and scalability needs.
Responsibilities
  • Design, develop, and implement sophisticated AI/ML and data science solutions supporting mission requirements across multiple domains.
  • Architect and deploy Agentic AI systems, including customized RAG pipelines tailored to operational use cases.
  • Evaluate, select, and implement machine learning models optimized for specific mission objectives and performance constraints.
  • Generate, train, evaluate, and optimize ML models for deployment in low-memory, low-resource edge device environments.
  • Apply advanced techniques to improve model efficiency, accuracy, and inference performance under constrained conditions.
  • Assess emerging AI technologies and recommend best-fit solutions aligned with mission needs.
  • Collaborate with cross-functional teams to integrate AI capabilities into existing systems and workflows.
  • Provide technical leadership and guidance on AI/ML architecture, implementation, and optimization.

Qualifications
Required
  • TS/SCI with Active Polygraph with this Customer.
  • Bachelor's degree in a technical discipline plus 15 years of relevant experience.
  • Demonstrated experience as a senior-level AI/ML expert delivering complex AI solutions in operational environments.
  • Proven experience designing and implementing Agentic AI and Retrieval-Augmented Generation (RAG) systems.
  • Deep understanding of machine learning architectures, model selection, training, and optimization techniques.
  • Hands-on experience developing and deploying ML models in resource-constrained edge environments.
  • Strong background in AI/ML performance optimization, including model compression, quantization, or similar techniques.
  • Ability to evaluate AI solutions and apply sound technical judgment to meet mission and performance requirements.
  • Strong communication skills to explain complex AI concepts to technical and non-technical stakeholders.

Salary Range
USD $220,000.00 - USD $235,000.00 /Yr.
The Markon pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Overview
Eager to join a team where your skills are valued, your growth is nurtured, and your impact is profound? Look no further than Markon, a premier consulting firm deeply dedicated to advancing our nation's most critical missions.
At Markon, we don't just offer jobs - we offer opportunities for personal and professional transformation. Empowering our employees to lead, innovate, and excel, we foster an environment where new ideas are not just welcomed but celebrated. As a perennial Washington Post Top Workplace, we prioritize the well-being and success of our team members, ensuring they can bring their best selves to work.
Headquartered in Falls Church, Virginia, Markon has garnered national recognition for our unwavering dedication to excellence in serving the intelligence community, as well as federal civilian and defense agencies. Our growing reach extends across 17 states, 116 countries, and 5 continents, where our team of dynamic professionals collaborates to deliver unparalleled program and project management services.
Markon values people and the tremendous impact each individual can make - which is why we're consistently recognized as one of the best places to work in federal government consulting. Here, you can help solve the nation's most important challenges, surrounded by colleagues who help you grow, advance, and succeed. We are deeply dedicated to what matters - bringing out the best in each other to advance our clients' missions.
Join us and make a meaningful impact.
Markon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, national origin, age, protected veteran status, or disability status. This job posting will remain open until the position is filled.
Benefits Offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Training and Tuition Assistance, Paid Time Off, and Holidays.

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