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Deep Learning Engineer Jobs in Washington, DC (NOW HIRING)

Barrow Wise Consulting

Software Engineer (Deep Learning)

MD · On-site

$84K - $110K/yr

The Software Engineer will support Barrow Wise and perform the following duties: * Designs and develops scalable solutions using AI and deep learning models * Performs research and testing to develop ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

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All JobsDeep Learning Engineer JobsDeep Learning Engineer Jobs in Washington, DC

Deep Learning Engineer information

See Washington, DC salary details

$42.9K

$130.7K

$216.1K

How much do deep learning engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for deep learning engineer in Washington, DC is $130,735.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $170,900.00 per year, depending on experience, location, and employer.

What is a deep learning engineer?

A Deep Learning Engineer is a specialized software engineer who designs, develops, and optimizes deep learning models. They work with neural networks, large datasets, and frameworks like TensorFlow or PyTorch to build AI systems for tasks like image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, performance tuning, and deploying models into production. Strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration are essential for this role.

What skills and qualifications does a deep learning engineer need?

To thrive as a Deep Learning Engineer, you need a strong background in mathematics, machine learning theory, and programming (especially Python), often supported by a relevant degree in computer science, engineering, or related fields. Proficiency with frameworks such as TensorFlow, PyTorch, Keras, as well as experience with GPUs and cloud platforms, is highly valued, and certifications in AI or deep learning can further enhance your profile. Effective problem-solving, strong collaboration skills, and clear communication are important soft skills for excelling in interdisciplinary teams. These abilities ensure that you can develop robust deep learning models, adapt to evolving technologies, and contribute value in both technical and collaborative settings.

What does a deep learning engineer do?

Deep Learning Engineers typically spend their days designing, developing, and optimizing neural network models for tasks like image recognition, natural language processing, or recommendation systems. They preprocess and analyze large datasets, experiment with model architectures, and tune hyperparameters to achieve the best performance. Collaboration is often required with data scientists, product managers, and software engineers to integrate models into real-world applications and scale solutions for production. Additionally, many deep learning engineers review current research, stay updated on advancements in AI, and continuously improve their skills. This role offers a dynamic work environment where learning and innovation are highly encouraged.

What are the most commonly searched types of Deep Learning Engineer jobs in Washington, DC? The most popular types of Deep Learning Engineer jobs in Washington, DC are:
What are popular job titles related to Deep Learning Engineer jobs in Washington, DC? For Deep Learning Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Deep Learning Engineer jobs in Washington, DC look for? The top searched job categories for Deep Learning Engineer jobs in Washington, DC are:
Deep Learning Engineer jobs near you
Infographic showing various Deep Learning Engineer job openings in Washington, DC as of July 2026, with employment types broken down into 72% Full Time, 26% Part Time, and 2% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $131,179 per year, or $63.1 per hour.

Deep Learning Expert/Developer (On-site)

Ripple Effect

Bethesda, MD • On-site

$90K - $103K/yr

Full-time

Posted 9 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.