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Deep Learning Jobs in Reston, VA (NOW HIRING)

SAIC

Machine Learning Developer

Arlington, VA · Hybrid

Experience with deep learning techniques and models. * Expertise in natural language processing (NLP) or computer vision. * Proficiency with machine learning frameworks and libraries such as ...

SAIC

Machine Learning Developer

Arlington, VA · Hybrid

Experience with deep learning techniques and models. * Expertise in natural language processing (NLP) or computer vision. * Proficiency with machine learning frameworks and libraries such as ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

We have developed a deep understanding in extracting useful, actionable information from multiple ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

We have developed a deep understanding in extracting useful, actionable information from multiple ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Arlington, VA · On-site

$110K - $160K/yr

We have developed a deep understanding in extracting useful, actionable information from multiple ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

We have developed a deep understanding in extracting useful, actionable information from multiple ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Varsity Tutors

Machine Learning Tutor

Leesburg, VA · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Rockville, MD · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Fairfax, VA · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Washington, DC · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

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Showing results 1-20

All JobsDeep Learning JobsDeep Learning Jobs in Reston, VA

Deep Learning information

See Reston, VA salary details

$11.5K

$87.4K

$145.9K

How much do deep learning jobs pay per year?

As of Jun 15, 2026, the average yearly pay for deep learning in Reston, VA is $87,431.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $144,900.00 per year, depending on experience, location, and employer.

What jobs use deep learning?

Jobs that use deep learning include roles such as deep learning engineer, machine learning engineer, data scientist, AI researcher, and computer vision engineer. These positions typically require skills in programming languages like Python, experience with frameworks such as TensorFlow or PyTorch, and a strong understanding of neural networks and data analysis.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience, impact, and industry demand.

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 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 engineers make $500,000?

Senior deep learning engineers with extensive experience, advanced skills in neural networks, and expertise in frameworks like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires a strong educational background, specialized certifications, and a track record of impactful projects.

What job makes $10,000 a month without a degree?

In the field of deep learning, roles such as freelance AI consultant or specialized machine learning engineer can potentially earn $10,000 or more per month through project-based work or high-demand expertise. Success typically requires strong skills in programming, neural networks, and experience with tools like TensorFlow or PyTorch, often gained through self-study or online courses rather than formal degrees.

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

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 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 June 2026, with employment types broken down into 58% Full Time, 38% Part Time, 1% Temporary, and 3% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $87,431 per year, or $42 per hour.

Deep Learning Software Engineer

Black Canyon Consulting LLC

Bethesda, MD

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days 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.

Apply