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Neural Networks Jobs in Washington (NOW HIRING)

NetSage

AI Software Engineer-Principal

Annapolis, MD · On-site

$133K - $179K/yr

Experience with modern deep learning architectures, including deep neural networks (DNNs), recurrent neural networks (RNNs), and attention-based architectures. * Experience with ML techniques ...

Bart & Associates

AI-ML Developer

Ashburn, VA · On-site

Solid understanding of deep learning architectures such as CNNs (Convolutional Neural Networks), RNNs (Recurrent Neural Networks), LSTMs (Long Short-Term Memory networks), and GANs (Generative ...

ASSYST, Inc.

Software Developer

Sterling, VA · Remote

Proficiency in data science, deep learning, and neural networks. * Ability to travel to local clients as required by project or client needs. * Remote work is not permitted. ASSYST Benefits: We are ...

Bart and Associates, Inc

AI-ML Developer

Ashburn, VA · On-site

Solid understanding of deep learning architectures such as CNNs (Convolutional Neural Networks), RNNs (Recurrent Neural Networks), LSTMs (Long Short-Term Memory networks), and GANs (Generative ...

B&A

AI-ML Developer

Ashburn, VA · On-site +1

Solid understanding of deep learning architectures such as CNNs (Convolutional Neural Networks), RNNs (Recurrent Neural Networks), LSTMs (Long Short-Term Memory networks), and GANs (Generative ...

Omm IT Solutions

GenAI Engineer

Ellicott City, MD

Machine Learning, Deep Learning, Neural Networks, Python, Natural Language Processing, Prompt Engineering, and Data Management and Preprocessing. \n \n \n \n \n \n Position Description: \n \n \n

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Neural Networks information

See Washington salary details

$32.2K

$142.1K

$215.3K

How much do neural networks jobs pay per year?

As of Aug 7, 2026, the average yearly pay for neural networks in Washington is $142,143.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,176.00 and $180,375.00 per year, depending on experience, location, and employer.

What are the most common challenges faced in a neural networks role, and how can I prepare for them?

Professionals working in neural networks frequently encounter challenges such as managing large datasets, tuning hyperparameters, handling overfitting or underfitting, and keeping up with rapidly evolving technologies. You can prepare by building a strong foundation in relevant mathematical concepts, staying up-to-date on industry advancements, and practicing hands-on model development and troubleshooting. Collaborating with peers and participating in open-source projects or competitions can deepen your expertise and problem-solving skills. Employers also value candidates who can communicate complex ideas clearly and work well in diverse, multidisciplinary teams.

What is a neural networks job?

A Neural Networks job typically involves designing, developing, and optimizing artificial neural networks for tasks such as image recognition, natural language processing, and predictive analytics. Professionals in this field work with machine learning frameworks like TensorFlow or PyTorch, train deep learning models, and fine-tune architectures for better accuracy and efficiency. These roles are common in AI research, data science, robotics, and software development. Strong skills in programming, mathematics, and data handling are essential for success in this field.

What are the key skills and qualifications needed to thrive in a neural networks position?

To thrive in a Neural Networks role, you need a solid background in mathematics, programming (Python, TensorFlow, PyTorch), and machine learning principles, often attained through a degree in computer science or a related field. Familiarity with neural network frameworks, model deployment tools, and cloud computing platforms is highly valuable, as are certifications such as TensorFlow Developer or AWS Machine Learning. Excellent problem-solving abilities, communication skills, and a collaborative mindset help you excel when working on interdisciplinary teams and complex projects. These skills are crucial for designing, training, and optimizing neural network models that effectively solve real-world problems in diverse industries.

What are the most commonly searched types of Neural Networks jobs in Washington? The most popular types of Neural Networks jobs in Washington are:
What are popular job titles related to Neural Networks jobs in Washington? For Neural Networks jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Neural Networks jobs in Washington look for? The top searched job categories for Neural Networks jobs in Washington are:
Neural Networks jobs near you
Infographic showing various Neural Networks job openings in Washington as of August 2026, with employment types broken down into 37% Full Time, 60% Part Time, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $142,143 per year, or $68.3 per hour.

Principal AI Software Engineer (TS/SCI + Poly) Fort Meade, MD

Aperio Global

Fort George G Meade, MD • On-site

$207 - $227/hr

Other

Posted 24 days ago

Job description

Principal AI Software Engineer (TS/SCI + Poly)

Fort Meade, MD

We are seeking a Principal AI Software Engineer to support the Corporate Directory Services mission. You will work closely with mission stakeholders to lead the development of advanced Artificial Intelligence and Machine Learning (AI/ML) solutions, intelligence mission workflows, and emerging analytic capabilities. This role is responsible for designing, developing, prototyping, and operationalizing AI-enabled applications that automate complex intelligence processes, discover emergent intelligence value, and accelerate mission outcomes.

Mission Focus:

  • Collaborate closely with customers to drive the rapid development, evaluation, and transition of AI/ML-enabled mission capabilities that enhance operational analysis and intelligence workflows.
  • Leverage emerging technologies, scalable software architectures, and advanced analytics to automate discovery, accelerate insight generation, and deliver production-ready solutions across diverse mission domains.
  • Shape technical strategy and best practices to ensure effective deployment, sustainment, and evolution of AI-enabled mission systems.

Technical Proficiency:

  • Proficient in current AI/ML technologies such as classification, clustering, collaborative filtering, search, and retrieval using techniques including deep neural networks (DNN), recurrent neural networks (RNN), attention-based transformers, etc.
  • Experience with large language models (LLM) for representative and generative tasks.

Qualifications:

  • Bachelor's degree plus 11 years of relevant experience or equivalent.
  • Proficiency with object-oriented languages (Java, Python) and experience with Jupyter Notebooks.

Security Clearance: Active TS/SCI with Polygraph required (CCA).

Nice to Have:

  • Proficiency in approaches to retrieval augmented generation (RAG), model context protocol (MCP), and other recent technologies supporting agentic AI.
  • Foundational knowledge of statistics related to parametric and nonparametric probability distributions, Bayesian analysis, and covariance matrices.
  • Proficiency in agentic systems that can automatically carry out mission goals with limited supervision.

Salary Range: $207,000–$227,000.

Aperio Global is an equal‑opportunity employer. We are committed to building an inclusive workforce where all employees and applicants are treated with respect and fairness. Employment decisions are based solely on qualifications, merit, and business needs—with no discrimination on protected basis.

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