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Machine Learning Research Scientist Jobs in Washington, DC

George Mason University

Research Scientist

Fairfax, VA · On-site

College of Science Classification: Research Staff 12-month Job Category: Research Staff Job Type ... Applies machine learning (ML) and artificial intelligence (AI) techniques to enhance traditional ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

Cymertek Corporation

Machine Learning Engineer

Reston, VA · On-site

$125 - $150/hr

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this ... Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

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Machine Learning Research Scientist information

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$57.2K

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

As of Sep 7, 2026, the average yearly pay for machine learning research scientist in Washington, DC is $147,316.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,700.00 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 are popular job titles related to Machine Learning Research Scientist jobs in Washington, DC?

For Machine Learning Research Scientist jobs in Washington, DC, the most frequently searched job titles are:

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

Machine Learning Research Scientist jobs near you
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

George Mason University

Fairfax, VA • On-site

Full-time

Re-posted 23 days ago

George Mason University rating

8.3

Company rating: 8.3 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

127th of 631 rated colleges and universities

Job description

Department: College of Science
Classification: Research Staff 12-month
Job Category: Research Staff
Job Type: Full-Time
Work Schedule: Full-time (1.0 FTE, 40 hrs/wk)
Location: Fairfax, VA
Workplace Type: Hybrid Eligible
Sponsorship Eligibility: Not eligible for visa sponsorship
Salary: Salary commensurate with education and experience
Restricted: Yes
Criminal Background Check: Yes
About the Department:
The Center for Satellite and Earth Science Research (CSER) advances Earth system science through cutting-edge satellite technology, data-driven research, and interdisciplinary collaboration. We deliver policy-relevant insights that enhance environmental resilience, support sustainable development, and empower the next generation of scientific leaders through meaningful research and mentorship. As a national leader in remote sensing, we provide reliable early warning systems that inform the public, save lives, and strengthen global resilience.
Statement on Building an Inclusive Culture
George Mason University College of Science (Mason Science) is committed to advancing all-inclusive excellence and fostering an environment free from discrimination, harassment, and retaliation throughout our STEM community. At Mason Science, our values include cultivating an organizational culture that promotes belonging, respect, and civility. We believe that varied opinions, cultures, and perspectives are what provides vibrancy, innovation and growth to an academic community. By prioritizing cultural responsiveness in academics, teaching, research, and global engagement, we strive to attract faculty and staff who exemplify the Mason Science mission and vision.
About the Position:
The primary purpose of this Research Scientist position is to take a role of code manager for NOAA/OAR/ARL's model and tool repository. The Research Scientist will also conduct the developmental and testing work for the atmospheric composition models.
Responsibilities:
Leads Research in Air Quality Forecasting and Modeling
  • Designs, implements, and manages research projects focused on regional and urban-scale air quality forecasting; and
  • Collaborates with multi-disciplinary teams to integrate modeling outputs into operational decision-making systems.

Develop Advanced ML/AI Models for Air Quality Applications
  • Applies machine learning (ML) and artificial intelligence (AI) techniques to enhance traditional chemical transport modeling systems;
  • Improves prediction accuracy and computational efficiency through fine-resolution data fusion, bias correction, and model surrogate development; and
  • Conducts experiments comparing AI-enhanced models with conventional methods and validate performance under various atmospheric scenarios.

Disseminate Research through Publications and Scientific Engagement
  • Prepares manuscripts for submission to high-impact, peer-reviewed journals in atmospheric science, environmental engineering, or AI applications;
  • Presents research findings at national and international scientific conferences, workshops, and stakeholder meetings; and
  • Contributes to proposal development for external research funding, including NSF, NOAA, NASA, and EPA.

Required Qualifications:
  • Bachelor's degree in related field;
  • Considerable experience (generally 5 years or longer) in atmospheric sciences; and
  • Knowledge of Fortran, Python, R, Database (Postgres, MySQL, SQLite), Shell program language skills.

Preferred Qualifications:
  • Knowledge of Community Multiscale Air Quality program (CMAQ), Sparse Matrix Operator Kerner Emissions program (SMOKE), Data Assimilation, Surrogate Tools, and other modeling skillsets.

Instructions to Applicants:
For full consideration, applicants must apply for Research Scientist at https://jobs.gmu.edu/. Complete and submit the online application to include three professional references with contact information, and provide a Cover Letter/Letter of Intent with Resume for review.
Posting Open Date: February 16, 2026
For Full Consideration, Apply by: March 2, 2026
Open Until Filled: Yes
Mason Ad Statement
George Mason University is a nationally ranked R1 research university committed to creating a more just, free, and prosperous world. With 40,000 enrolled students, George Mason is the largest and most diverse public research university in Virginia, offering degree programs at the master's, doctoral, and professional level, along with certificates and credentials.
George Mason fosters an All Together Different environment for students, faculty, and staff, driven by our core beliefs. We believe in inclusivity over exclusivity; we believe in advancing our mission by being willing to take risks, not avoiding them; and we believe our best work is possible when we apply our diversity of origin, identity, circumstance, and thought.
Equity Statement
George Mason University is an equal opportunity/affirmative action employer, committed to promoting inclusion and equity in its community. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any characteristic protected by law.
Campus Safety Information
Mason's Annual Security and Fire Safety Report is available at http://police.gmu.edu/annual-security-report/

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