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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 ...

Full Scope

Machine Learning Engineer

Reston, VA · On-site

Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly ... and deep learning. * Experience with data processing tools like Pandas, NumPy, and data ...

Cymertek

Machine Learning Engineer

Annapolis, MD

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

Chantilly, VA

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

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 ...

Cymertek

Machine Learning Engineer

Vienna, VA

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

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 ...

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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 Jun 13, 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 job?

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 are the key skills and qualifications needed to thrive in the Deep Learning Engineer position, and why are they important?

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 are the typical daily tasks and responsibilities of a Deep Learning Engineer?

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 June 2026, with employment types broken down into 9% Internship, 74% Full Time, and 17% Contract. Highlights an 96% In-person, and 4% Hybrid job distribution, with an average salary of $130,735 per year, or $62.9 per hour.

Deep Learning Software Engineer

Black Canyon Consulting LLC

Bethesda, MD

Other

Medical, Dental, Vision, Retirement, PTO

Posted 11 hours ago

Job description

Deep Learning Software Engineer

Bethesda, Maryland

Overview

We are seeking a Deep Learning Software Developer to support projects at the Applied Clinical Informatics Branch (ACIB), Lister Hill National Center for Biomedical Communications (LHNCBC), National Library of Medicine (NLM), National Institutes of Health (NIH). 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.

Key Responsibilities
  • 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 organ-transplant and COVID-19 patient data.
  • Build and optimize deep learning tools for deployment on Android/iOS/Web-based platforms.
Required Skills and Experience
  • Ph.D. in a relevant field, or M.S. with 3+ years, or B.S. with 5+ years of relevant experience in image analysis and deep learning.
  • 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 is a plus.
Required Professional and Personal Qualities
  • Strong organizational and time management skills, with flexibility to adapt to shifting priorities.
  • Ability to write clean, efficient, and well-documented code.
  • Excellent interpersonal skills, with the ability to both collaborate and work independently.
  • Strong oral and written communication skills, with the ability to clearly document projects and provide regular status reports.
  • Highly detail-oriented with the ability to manage multiple tasks and deliver results in a timely manner.
Benefits and Salary

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement.

We offer a competitive salary commensurate with experience and location.

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