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Artificial Intelligence And Machine Learning Jobs in Silver Spring, MD

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Artificial Intelligence And Machine Learning information

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How much do artificial intelligence and machine learning jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for artificial intelligence and machine learning in Silver Spring, MD is $27.24, according to ZipRecruiter salary data. Most workers in this role earn between $22.12 and $28.85 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in Artificial Intelligence and Machine Learning roles?

Professionals in AI and Machine Learning often encounter challenges such as managing large datasets, ensuring data quality, and selecting the most appropriate algorithms for specific problems. Additionally, they must stay up-to-date with rapidly evolving technologies and frameworks, which requires continuous learning. Collaborating with cross-functional teams, such as data engineers and domain experts, is vital for translating business needs into effective AI solutions. Balancing project deadlines with the experimentation and iteration needed for model development can also be demanding.

What are Artificial Intelligence and Machine Learning?

Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence, such as reasoning, problem-solving, and understanding language. Machine Learning (ML) is a subset of AI that focuses on creating algorithms and statistical models that enable computers to learn from data and improve their performance over time without being explicitly programmed. Together, AI and ML are used in a wide range of applications, from virtual assistants and recommendation systems to autonomous vehicles and medical diagnosis. These technologies are rapidly evolving and have a significant impact across many industries.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence and machine learning, such as a senior AI researcher, machine learning director, or executive role. These roles often require advanced skills in data science, programming, and deep learning, along with significant experience and leadership responsibilities.

Is there a job related with machine learning for artificial intelligence?

Yes, roles such as Machine Learning Engineer and AI Research Scientist focus on developing algorithms and models for artificial intelligence systems. These jobs typically require skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. They are available across various industries including tech, healthcare, finance, and automotive.

What jobs can you get with AI machine learning?

Jobs in AI and machine learning include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence and Machine Learning (AI/ML) Engineer, and why are they important?

To thrive as an AI/ML Engineer, you need strong skills in mathematics, statistics, programming (Python, R), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and tools like scikit-learn, as well as experience with cloud platforms and relevant certifications, is highly valuable. Critical thinking, creativity, and effective communication help in solving complex problems and collaborating across interdisciplinary teams. These skills are crucial for developing robust AI solutions that drive innovation and deliver tangible business value.

What is AI ML salary?

Salaries for Artificial Intelligence and Machine Learning professionals vary based on experience, location, and skill level, but typically range from $80,000 to over $150,000 annually. Entry-level roles may start lower, while experienced specialists with skills in deep learning, data analysis, and programming languages like Python tend to earn higher salaries.
What job categories do people searching Artificial Intelligence And Machine Learning jobs in Silver Spring, MD look for? The top searched job categories for Artificial Intelligence And Machine Learning jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Artificial Intelligence And Machine Learning jobs? Cities near Silver Spring, MD with the most Artificial Intelligence And Machine Learning job openings:
Artificial Intelligence / Machine Learning Data Engineer

Artificial Intelligence / Machine Learning Data Engineer

MAG Aerospace

Fairfax, VA

$116K - $140K/yr

Full-time

Re-posted 20 days ago


Job description

MAG Aerospace is staffing for a Artificial Intelligence / Machine Learning Data Engineer.

This position will lead the development of intelligent systems that transform multi-modal sensor data into actionable intelligence for tactical operations. You'll leverage COTS, FOSS/OSS, and custom development to build or integrate everything from edge computer vision to conversational AI assistants, while managing the data pipelines that feed these systems in the most challenging environments. While you'll have a core expertise in either data engineering or model development, you have a passion for mastering the full stack of AI systems.

US Citizens Only

Former US Defense Contractor / US Gov / US Military Experience Only  

This is a Hybrid Position - Remote mainly - but as well on call to come into a MAG office when requested

We are seeking candidates who live in proximity to our corporate HQ in Fairfax, VA primarily but will entertain persons living near our satellite offices in:
Aberdeen, MD - Titusville, FL - Newport News, VA - Carthage NC


Duties include, but not limited to:

Primary Responsibilities:

  • Develop and optimize data-centric AI solutions such as computer vision pipelines for object detection, tracking, and classification
  • Implement advanced AI capabilities including RAG systems, agentic workflows, and fine-tuned LLMs
  • Design and deploy edge-optimized models using TensorRT, ONNX, and quantization techniques
  • Build data engineering pipelines for ETL, feature engineering, and model training
  • Create analytics dashboards and business intelligence solutions for operational insights
  • Implement multi-modal sensor fusion algorithms (visual, thermal, acoustic, RF)
  • Design and maintain data lakes, warehouses, and real-time streaming architectures
  • Develop conversational AI interfaces using open-source LLMs (Llama, Mistral, etc.)
  • Establish and enforce data quality standards, validation checks, and governance procedures throughout the data lifecycle
  • Develop and implement robust testing and validation strategies for AI/ML models, including performance under degraded data conditions, adversarial testing, and operational scenarios
Secondary Responsibilities:
  • Optimize AI workloads for embedded platforms (Jetson, Intel Neural Compute Stick)
  • Implement hardware acceleration using CUDA and TensorRT
  • Profile and optimize memory/power consumption for edge devices
  • Support embedded systems team with AI-specific hardware integration
  • Design distributed inference systems for degraded network conditions

Minimum Requirements:

 

Primary Experience / Qualifications:

  • 5+ years’ experience in machine learning, AI, and data engineering
  • Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX)
  • Experience with modern AI paradigms (transformers, diffusion models, neural ODEs)
  • Hands-on experience with LLM deployment and optimization (vLLM, TGI, llama.cpp)
  • Proficiency with data engineering tools (Apache Spark, Airflow, dbt, etc.)
  • Experience with both SQL and NoSQL databases at scale
  • Knowledge of vector databases and embedding systems (Pinecone, Weaviate, pgvector)
  • Experience with computer vision libraries (OpenCV, PIL) and video processing
  • Understanding of MLOps practices and model lifecycle management
Preferred Qualifications
  • Experience with military/defense AI applications
  • Knowledge of agentic AI frameworks (LangChain, AutoGPT, CrewAI)
  • Familiarity with federated learning and edge-cloud hybrid architectures
  • Experience with business intelligence tools (Tableau, PowerBI, Grafana)
  • Knowledge of time-series analysis and anomaly detection
  • Experience with knowledge graphs and semantic reasoning
  • Understanding of explainable AI and model interpretability
  • Experience with MLOps platforms and tools (e.g., MLflow, Kubeflow, Weights & Biases)
  • Published research or patents in relevant areas

Education & Experience:

  • Bachelor's degree in CS, EE, or related field;
  • Master's preferred

Clearance:

  • Must be eligible for Secret security clearance

Other Qualifications:

  • Must be a US citizen

What Makes You Successful Here
  • You can build anything from a computer vision pipeline to a conversational AI assistant
  • You treat data engineering as seriously as model development
  • You understand the tradeoffs between cloud-scale and edge deployment
  • You can explain complex AI concepts to operators and executives alike
  • You see AI as a tool for augmenting human decision-making, not replacing it

Why Join MAG:

  • Work on meaningful problems that directly impact national security
  • Small, elite team where your contributions matter immediately
  • Access to cutting-edge hardware and technologies
  • Rapid prototyping environment - see your ideas deployed in weeks
  • Direct interaction with end users and field deployments
  • Professional development and conference attendance support
  • Flexible work arrangements with occasional field exercises
  • Opportunity to shape the future of tactical edge computing

MAG Aerospace (MAG) is an Equal Opportunity/Affirmative Action Employer and is committed to Diversity and Inclusion. We encourage diverse candidates to apply to our positions.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Click below for the “EEO is The Law” and “Pay Transparency Nondiscrimination” supplement posters.

https://www.dol.gov/agencies/ofccp/posters

MAG Aerospace (MAG) is committed to providing an online application process that is accessible to all, including individuals with a disability, by offering an alternative way to apply for job openings. This alternative method is available for those who cannot otherwise complete the online application due to a disability or need for accommodation.
MAG provides reasonable accommodation to applicants under the guidance of the Americans with Disabilities Act (ADA), Section 503 of the Rehabilitation Act of 1973, the Vietnam-Era Veterans’ Readjustment Assistance Act of 1974, and certain state and/or local laws.

If you need assistance due to a disability, please contact the MAG Aerospace Recruiting email:
Applicant.Assist@magaero.com or call (703) 376-8993.