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

Software Engineer (Deep Learning)

MD ยท On-site

$84K - $110K/yr

Performs research and testing to develop deep learning algorithms and predictive models * Develops algorithms such as Bayesian, coordinate descent, gradient descent, and evolutionary * Utilizes big ...

Senior Machine Learning Engineer

Arlington, VA ยท On-site

$155K - $195K/yr

Our projects span multiple different data modalities and incorporate advanced algorithms, deep ... The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into ...

Senior Machine Learning Engineer

Arlington, VA ยท On-site

$155K - $195K/yr

Our projects span multiple different data modalities and incorporate advanced algorithms, deep ... The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into ...

Our projects span multiple different data modalities and incorporate advanced algorithms, deep ... The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into ...

Senior Machine Learning Engineer

Washington, DC ยท On-site

$155K - $195K/yr

Our projects span multiple different data modalities and incorporate advanced algorithms, deep ... The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into ...

Machine Learning Engineer

Arlington, VA ยท Hybrid

$110K - $160K/yr

Experience curating quality, real-world datasets for training deep learning models * Proficiency in C++ $110,000 - $160,000 a year Company Description: Kitware is a research and development software ...

Machine Learning Engineer

Arlington, VA ยท On-site

$110K - $160K/yr

Experience curating quality, real-world datasets for training deep learning models * Proficiency in C++ $110,000 - $160,000 a year Company Description: Kitware is a research and development software ...

Machine Learning Engineer

Arlington, VA ยท Hybrid

$110K - $160K/yr

Experience curating quality, real-world datasets for training deep learning models * Proficiency in C++ Company Description: Kitware is a research and development software solutions provider with a ...

Showing results 21-40

Deep Learning Research information

See Washington, DC salary details

$23.1K

$196.6K

$430.5K

How much do deep learning research jobs pay per year?

As of Aug 8, 2026, the average yearly pay for deep learning research in Washington, DC is $196,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $146,018.00 and $227,616.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in deep learning research?

Professionals in Deep Learning Research often encounter challenges such as working with large and complex datasets, ensuring model interpretability, and managing limited computational resources. Staying up-to-date with the rapidly evolving literature and adapting to new techniques or frameworks is also crucial. Additionally, translating research results into practical, scalable applications and collaborating with cross-functional teams can be both demanding and rewarding. Overcoming these challenges requires a combination of technical expertise, creativity, and strong communication skills, making each day dynamic and intellectually stimulating.

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

To thrive in Deep Learning Research, you need a strong background in mathematics, computer science, and machine learning principles, often backed by advanced degrees such as an MSc or PhD. Experience with programming languages like Python, proficiency in frameworks such as TensorFlow or PyTorch, and familiarity with high-performance computing resources are highly valuable. Strong analytical thinking, problem-solving skills, and the ability to communicate complex ideas effectively are essential soft skills. These capabilities ensure you can design, implement, and present innovative deep learning solutions that advance research and address real-world challenges.

What is deep learning research?

A Deep Learning Research job involves investigating and developing advanced machine learning techniques, particularly deep neural networks, to improve AI performance. Researchers design new models, optimize algorithms, and experiment with architectures to solve complex problems in areas like computer vision, natural language processing, and reinforcement learning. They often work in academia, industry, or research labs, publishing findings in conferences and collaborating with engineers to integrate advancements into real-world applications.

What are the most commonly searched types of Deep Learning Research jobs in Washington, DC? The most popular types of Deep Learning Research jobs in Washington, DC are:
What job categories do people searching Deep Learning Research jobs in Washington, DC look for? The top searched job categories for Deep Learning Research jobs in Washington, DC are:
Infographic showing various Deep Learning Research job openings in Washington, DC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $196,637 per year, or $94.5 per hour.

NLM Deep Learning Software Developer

Lexical Intelligence, LLC

Bethesda, MD โ€ข On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 13 days ago


Job description

Deep Learning Software Developer

Lexical Intelligence provides software and services related to processing large-scale biomedical information sources. Our Natural Language Processing (NLP) and analytics software is used by policy and decision makers to evaluate and prioritize current and emerging areas of research. 


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 other patient data.
  • Build and optimize deep learning tools for deployment on Android/iOS/Web-based
    platforms.

Required Skills and Experience:

  • Ph.D. in computer science, computer engineering, or relevant field or M.S. with 5+ years of relevant experience in image analysis, machine learning, 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.

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.


Salary and Benefits: We offer a competitive salary and a generous benefits package, including at no cost: full health and dental for you and your dependents, retirement and HSA accounts, short- and long-term disability insurance, life and accident insurance, paid time off, and 11 federal holidays. 

Location: NIH Campus, Bethesda, MD 


Equal Employment Opportunity Policy: Lexical Intelligence, LLC, provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. 


Lexical Intelligence, LLC | 2001 Veirs Mill Rd #546 | Rockville, MD 20851