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Neural Networks Jobs in Washington (NOW HIRING)

SOSi

Machine Learning Engineer- Senior

Chantilly, VA · On-site

$125K - $165K/yr

Experience developing and applying advanced machine learning methods including clustering, regression, optimization, recommender engines, and artificial neural networks. * Deploying models into multi ...

SOSi

Machine Learning Engineer- Senior

Chantilly, VA · On-site

$125K - $165K/yr

Experience developing and applying advanced machine learning methods including clustering, regression, optimization, recommender engines, and artificial neural networks. * Deploying models into multi ...

InstantServe LLC

Lead Data Scientist

Suitland, MD · On-site

Develop advanced algorithms, models, and frameworks leveraging machine learning, deep learning, neural networks, natural language processing, and generative AI / large language models (LLMs) * Manage ...

MetroStar

Sr. AI/ML Engineer II (6707)

Tysons Corner, VA · On-site

$212K - $248K/yr

Generative AI/LLMs, NLP, RAG, and neural networks. * At least 8 years experience with at least two following technologies: Python, R, Anaconda, Numpy, TensorFlow, Keras, SciKit-Learn, and Postgres

MetroStar

Sr. AI/ML Engineer II (6707)

Reston, VA · On-site

$212K - $248K/yr

Generative AI/LLMs, NLP, RAG, and neural networks. * At least 8 years experience with at least two following technologies: Python, R, Anaconda, Numpy, TensorFlow, Keras, SciKit-Learn, and Postgres

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$32.2K

$142.1K

$215.3K

How much do neural networks jobs pay per year?

As of Aug 11, 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 42% Full Time, 57% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $142,143 per year, or $68.3 per hour.

Senior AI Software Engineer

Que Technology Group

Fort George G Meade, MD

$135K - $179K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Job description

Que Technology Group, Inc., is seeking a motivated Senior AI Software Engineer to support the exciting Corporate Directory Services mission. Engineer 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. The candidate will work across multiple technical domains including software engineering, data science, machine learning, and large language model (LLM) integration to deliver innovative capabilities from proof-of-concept through operational deployment.

Job Responsibilities/Qualifications:

  • 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 such as but not limited to  deep neutral networks (DNN), recurrent neural networks (RNN), attention-based transformers, etc. Experience in current 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
  • Desirable Skills: 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 probability distributions, nonparametric probability distributions, Bayesian analysis, and covariance matrices. Proficiency in agentic systems that can automatically carry out mission goals with limited supervision.​

Security Clearance:

  • Active TS/SCI with Polygraph required​

BENEFITS:

  • Competitive salary
  • Company Medical/Dental/Vision plans – Company paid  
  • Short-term Disability, Long-term disability and Life Insurance – Company paid    
  • Business/ First Class travel upgrade for 7 hour or longer flights & company card will be provided for expenses    
  • Vacation / Personal days granted at 25 days per year   
  • Paid Federal Holidays – 11 days    
  • $5,000 Annual Professional Development Fund plus 40 paid hours if in class    
  • 401K with 6% company match; all contributions are immediately vested by Employee   
  • Employee will be paid a bonus of $10,000 per employee hired based on their referral    
  • Up to 3 paid Code Red days due to customer closure

Que Technology Group, Inc., is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.