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

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Deep Learning Research information

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$23.1K

$196.6K

$430.5K

How much do deep learning research jobs pay per year?

As of Aug 7, 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 are popular job titles related to Deep Learning Research jobs in Washington, DC? For Deep Learning Research jobs in Washington, DC, the most frequently searched job titles 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:
Deep Learning Research jobs near you
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.

Research Scientist Intern (2025)

Whiterabbit.ai

Annandale, VA

Full-time

Re-posted 16 days ago

Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity

Apply