ZipRecruiter

Log In

1

Associate Artificial Intelligence Machine Learning Jobs in Silver Spring, MD

next page

Showing results 1-20

All JobsAssociate Artificial Intelligence Machine Learning JobsAssociate Artificial Intelligence Machine Learning Jobs in Silver Spring, MD

Associate Artificial Intelligence Machine Learning information

See Silver Spring, MD salary details

$32.6K

$137.6K

$325.1K

How much do associate artificial intelligence machine learning jobs pay per year?

As of Jul 17, 2026, the average yearly pay for associate artificial intelligence machine learning in Silver Spring, MD is $137,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $208,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate Artificial Intelligence Machine Learning professional, and why are they important?

To thrive as an Associate Artificial Intelligence Machine Learning professional, you need a solid background in mathematics, statistics, and computer science, typically with a relevant degree and familiarity with machine learning concepts. Proficiency in programming languages like Python or R, experience with frameworks such as TensorFlow or PyTorch, and knowledge of version control systems are commonly required. Strong problem-solving, analytical thinking, and effective communication skills help differentiate top performers in this role. These skills are crucial for developing accurate models, collaborating with multidisciplinary teams, and driving impactful AI solutions.

What is the difference between Associate Artificial Intelligence Machine Learning vs Data Scientist?

AspectAssociate Artificial Intelligence Machine LearningData Scientist
Required CredentialsBachelor's in CS, AI, or related; certifications in ML/AIBachelor's/Master's in CS, Statistics, or related; often advanced degrees
Work EnvironmentTech companies, R&D labs, startupsData-driven organizations, consulting firms, tech companies
Employer & Industry UsageAI/ML teams, product developmentData analysis, predictive modeling, business insights
Common Search & ComparisonYesYes

Associate Artificial Intelligence Machine Learning roles focus on developing and implementing AI/ML models, often with entry-level responsibilities. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles require knowledge of programming and statistics, Data Scientists typically have more advanced degrees and focus on data analysis, whereas Associate AI/ML roles are more specialized in AI/ML model development.

What does an Associate Artificial Intelligence Machine Learning professional do?

An Associate Artificial Intelligence Machine Learning (AI/ML) professional assists with the development, testing, and deployment of AI and machine learning models. They typically work under the supervision of senior data scientists or machine learning engineers, helping to preprocess data, select algorithms, and evaluate model performance. Their responsibilities may also include writing code, analyzing results, and supporting the integration of models into applications or systems. This entry-level role is ideal for those who have foundational knowledge in AI/ML concepts and are looking to gain practical, hands-on experience in the field.

What are some common challenges faced by Associate Artificial Intelligence Machine Learning professionals in their first year, and how can they overcome them?

Associate AI/ML professionals often encounter challenges such as understanding complex datasets, adapting to rapidly evolving tools and frameworks, and bridging the gap between theoretical knowledge and practical application. Collaborating closely with senior team members, seeking mentorship, and participating in code reviews are effective ways to overcome these challenges. Additionally, staying updated with industry trends and continuously practicing model building on real-world problems can help associates gain confidence and accelerate their learning curve.
What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Silver Spring, MD? The most popular types of Artificial Intelligence Machine Learning jobs in Silver Spring, MD are:
What job categories do people searching Associate Artificial Intelligence Machine Learning jobs in Silver Spring, MD look for? The top searched job categories for Associate Artificial Intelligence Machine Learning jobs in Silver Spring, MD are:
Associate Artificial Intelligence Machine Learning jobs near you
Infographic showing various Associate Artificial Intelligence Machine Learning job openings in Silver Spring, MD as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $137,556 per year, or $66.1 per hour.
Artificial Intelligence / Machine Learning Data Engineer

Artificial Intelligence / Machine Learning Data Engineer

MAG Aerospace

Fairfax, VA

$116K - $140K/yr

Full-time

Re-posted 19 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.


Apply