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Deep Learning Jobs in Reston, VA (NOW HIRING)

DeepSig Inc

Machine Learning DSP Engineer

Arlington, VA · On-site

$164K - $192K/yr

Deep Learning, RF Sensing, Statistical Signal Processing, Wireless Systems fundamentals, Time/Frequency analysis of signals * Ability to work on open ended problems, building candidate solutions and ...

Socket.dev

Machine Learning DSP Engineer

Arlington, VA · On-site

$120 - $190/hr

Deep Learning, RF Sensing, Statistical Signal Processing, Wireless Systems fundamentals, Time/Frequency analysis of signals * Ability to work on open ended problems, building candidate solutions and ...

DeepSig, Inc

Machine Learning DSP Engineer

Arlington, VA · On-site

$164K - $192K/yr

Deep Learning, RF Sensing, Statistical Signal Processing, Wireless Systems fundamentals, Time/Frequency analysis of signals * Ability to work on open ended problems, building candidate solutions and ...

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All JobsDeep Learning JobsDeep Learning Jobs in Reston, VA

Deep Learning information

See Reston, VA salary details

$11.4K

$87.3K

$145.6K

How much do deep learning jobs pay per year?

As of Sep 5, 2026, the average yearly pay for deep learning in Reston, VA is $87,271.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,900.00 and $144,600.00 per year, depending on experience, location, and employer.

What is a deep learning job?

A Deep Learning job involves designing, developing, and optimizing neural networks to solve complex problems such as image recognition, natural language processing, and autonomous systems. Professionals in this field work with large datasets, neural network architectures, and frameworks like TensorFlow or PyTorch. They collaborate with data scientists, engineers, and researchers to improve model accuracy and efficiency. Deep Learning roles typically require strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration.

What are the typical daily responsibilities of a deep learning professional?

As a Deep Learning professional, your day-to-day tasks often include designing and training neural network models, preprocessing and analyzing large datasets, and evaluating model performance using various metrics. You may also participate in research activities, document your results, and collaborate with data scientists, engineers, or product teams to deploy machine learning solutions. Regular meetings for project updates, code reviews, and brainstorming sessions are common, as is staying updated on advances in the field. This dynamic environment offers both individual and team-based work, providing continuous learning and the opportunity to solve complex, real-world problems.

What are the key skills and qualifications needed to thrive in a deep learning position?

To thrive in Deep Learning, you need a solid understanding of machine learning theory, neural networks, mathematics (especially linear algebra and probability), and programming skills, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data preprocessing, and optionally industry-recognized certifications are advantageous. Strong analytical thinking, problem-solving skills, and the ability to communicate findings clearly are crucial soft skills. These abilities enable the design, implementation, and optimization of effective deep learning solutions in real-world applications.

What jobs use deep learning?

Jobs that use deep learning include roles such as machine learning engineer, data scientist, AI researcher, and computer vision engineer. These positions typically require skills in programming languages like Python, experience with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures. They are common in industries like technology, healthcare, automotive, and finance, often involving tasks like image recognition, natural language processing, and predictive modeling.

What are popular job titles related to Deep Learning jobs in Reston, VA?

For Deep Learning jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Deep Learning jobs in Reston, VA look for?

The top searched job categories for Deep Learning jobs in Reston, VA are:

What cities near Reston, VA are hiring for Deep Learning jobs?

Cities near Reston, VA with the most Deep Learning job openings:

Deep Learning jobs near you
Infographic showing various Deep Learning job openings in Reston, VA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $87,271 per year, or $42 per hour.

Deep Learning Expert/Developer (On-site)

Ripple Effect

Bethesda, MD • On-site

$90K - $103K/yr

Full-time

Re-posted 11 days ago

Job description

General Information 
  • Job Code: SHR-BI-03
  • Location: NIH Campus onsite, with ad-hoc telework
  • Employee Type: Exempt, Full-Time Regular
  • Clearance: Must be able to work in the U.S. without employer sponsorship
  • Salary Range: $90,267-$103,808  (how we pay and promote)  
Position Overview 

Are you passionate about turning complex data into meaningful insights? As a Deep Learning Developer on the Ripple Effect team, you will play a pivotal role in shaping our success in this important role with the NIH! Your work will directly impact the Lister Hill Center's work. This position involves applying deep learning techniques to biomedical images and clinical data for clinical decision-making and prediction. The role focuses on the development of tools for retinal disease detection, severity classification, disease progression prediction, and more. The ideal candidate will have a strong background in deep learning, particularly for medical image analysis, and experience with high-performance computing environments.

While not an exhaustive list, the key duties for the position include: 

    • Develop deep learning models to support clinical decision-making for retinal diseases using retinal images, genomic data, and clinical records.
    • Develop algorithms for disease detection, severity classification, and longitudinal progression prediction, focusing on retinal diseases as well as other patient data.
    • Build and optimize deep learning tools for deployment on Android/iOS/Web-based platforms.
    • Other related duties as assigned.

Requirements

Minimum Qualifications  
  • Master's degree
  • 5 or more years of experience in image analysis, machine learning, and deep learning
Basic Requirements  
    • Proven experience writing manuscripts or papers for journals and conferences.
    • Extensive experience with medical image processing, data analysis, and classification techniques.
    • Expertise in developing custom deep learning workflows, including visualizing activations.
    • Strong understanding of machine learning techniques, including Support Vector Machines (SVM), Multilayer Perceptron (MLP), and Convolutional Neural Networks (CNNs).
    • Proficiency in Decision Tree algorithms such as Random Forest, XGBoost, and LightGBM.
    • Experience in statistical analysis of experimental results.
    • Familiarity with Linux and Windows environments.
    • Hands-on experience with high-performance GPU clusters and multi-GPU setups for deep learning tasks.
    • Expertise in programming with Python, Keras, and PyTorch.
    • Experience in developing Android, iOS, or web applications.
    • Must reside within a commutable distance from the NIH main campus in Bethesda, MD, and be willing to report on site on a daily basis for this role.

Skills That Set You Apart 

  • PhD in computer science, computer engineering, or relevant field
  • Familiarity with Linux and Windows environments.
  • Intermediate experience with (levels 03+) Microsoft Office productivity software and collaboration tools such as Microsoft Teams and SharePoint. 
  • Intermediate experience with workplace AI tools, including their limitations and risks, and how they can be applied to support project management tasks. 

About Ripple Effect 

Ripple Effect is a woman-owned, 200-person company of communicators, scientists, researchers, and analysts. Established in 2003, and named as one of the "Best and Brightest Companies to Work For" in 2024 and 2025 by the NABR, Ripple Effect has earned acclaim for delivering unparalleled consulting services and top-tier talent across federal, private, and non-profit sectors. 

Benefits

At Ripple Effect, we reward our employees for their contributions to our mission. Our comprehensive total rewards package includes competitive pay, exceptional benefits, and a range of programs that support your work/life balance and personalized preferences.  

Learn more about our benefits and culture here. 

Apply