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Machine Learning Research Scientist Jobs in Washington, DC

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Machine Learning Research Scientist information

See Washington, DC salary details

$57.2K

$147.4K

$197.1K

How much do machine learning research scientist jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning research scientist in Washington, DC is $147,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,800.00 and $195,900.00 per year, depending on experience, location, and employer.

What is a machine learning research scientist?

A Machine Learning Research Scientist develops new algorithms and models to advance the field of artificial intelligence. They conduct experiments, analyze data, and publish research to push the boundaries of machine learning theory and applications. Their work often involves designing novel architectures, optimizing existing models, and collaborating with engineers to bring research into production. This role typically requires a deep understanding of mathematics, statistics, and programming, along with experience in areas like deep learning, reinforcement learning, or probabilistic modeling.

What does a machine learning research scientist do?

As a Machine Learning Research Scientist, your typical projects may include developing novel algorithms, conducting experiments on large datasets, implementing and tuning models, and publishing research findings. Your daily responsibilities often involve coding, data analysis, reading the latest literature, collaborating with engineers and product teams, and participating in internal discussions about research direction. You may also mentor junior researchers, contribute to open-source projects, and present results at conferences or internal meetings. This role offers a dynamic work environment where continuous learning and innovative problem-solving are highly encouraged.

What are the key skills and qualifications needed to thrive as a machine learning research scientist?

To thrive as a Machine Learning Research Scientist, you need a strong background in mathematics, statistics, programming (typically Python or similar), and experience with machine learning frameworks, usually supported by an advanced degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Scikit-learn, and proficiency in data handling and cloud platforms is highly valued, alongside certifications like Google Cloud ML Engineer as a plus. Innovative thinking, strong communication, and effective problem-solving skills help set exceptional researchers apart. Mastery of both technical and soft skills is essential for developing impactful models, collaborating across multidisciplinary teams, and staying ahead in this fast-evolving field.

What are the most commonly searched types of Machine Learning Research Scientist jobs in Washington, DC?

The most popular types of Machine Learning Research Scientist jobs in Washington, DC are:

What job categories do people searching Machine Learning Research Scientist jobs in Washington, DC look for?

The top searched job categories for Machine Learning Research Scientist jobs in Washington, DC are:

Infographic showing various Machine Learning Research Scientist job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $147,370 per year, or $70.9 per hour.

Research Scientist and AI and Machine Learning

AIToolboard

Ashburn, VA โ€ข On-site

$130 - $180/hr

Other

Medical, Life, Retirement, PTO

Posted 2 days ago

New


Job description

Jobs / Research Scientist and AI and Machine Learning

Research Scientist and AI and Machine Learning

Full-time

About the Role

Research Scientist โ€“ AI & Machine LearningNovateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning.We are hiring Research Scientists passionate about advancing foundational AI methods for perception and reasoning. You will pursue original research in machine learning, multimodal integration, and explainable AI, working with collaborators from academia and national labs.

Responsibilities
  • Formulate and conduct research in large-scale machine learning and spatiotemporal analytics.
  • Publish findings in top-tier conferences and journals.
  • Collaborate on grant proposals and cross-disciplinary R&D initiatives.
  • Supervise interns and junior researchers.
Requirements
  • PhD in Computer Science, Mathematics, Physics, or related field.
  • Deep understanding of statistical learning, computer vision, or representation learning.
  • Ability to transition research concepts into implementable systems.
Preferred
  • Experience with multimodal learning, uncertainty quantification, or causal inference.

Join a team that values creativity and initiative. Our scientists and engineers have freedom to innovate, collaborate with top researchers, publish research in major scientific conferences, and see their ideas deployed in impactful applications.

Company BenefitsNovateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance.We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.

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