1

Climate Research Scientist Machine Learning Jobs in Washington

Senior Autonomous Systems Research Scientist

Arlington, VA ยท On-site +1

$113K - $144K/yr

Applied Machine Learning and AI: Research and implement machine learning principles, techniques ... applying scientific methods * Experience leading research projects and collaborating across ...

AI Research Scientist

Washington, DC ยท On-site

$120 - $180/hr

/AI Research Scientist# AI Research ScientistWhatJobs DirectWashington, USFull-time## About the ... Conduct original research in areas such as machine learning, deep learning, natural language ...

New

next page

Showing results 1-20

Climate Research Scientist Machine Learning information

What does a climate research scientist specializing in machine learning do?

A Climate Research Scientist who specializes in Machine Learning uses advanced algorithms and computational models to analyze climate data and improve predictions about climate change. They work with large datasets from satellites, weather stations, and simulations to identify patterns, make forecasts, and assess environmental impacts. Their work helps inform policy decisions, guide mitigation strategies, and advance our scientific understanding of the Earth's climate system. Collaboration with other scientists, governments, and organizations is often a key part of the role.

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

To thrive as a Climate Research Scientist specializing in Machine Learning, you need a solid background in climate science, statistical analysis, and advanced machine learning techniques, typically supported by a graduate degree in a related field. Experience with programming languages like Python or R, familiarity with climate modeling software, and proficiency in machine learning frameworks such as TensorFlow or PyTorch are highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication skills help you explain complex findings to diverse audiences and collaborate across disciplines. These skills and qualities are crucial for advancing climate research, developing innovative solutions, and informing policy decisions based on robust data analysis.

How do climate research scientists specializing in machine learning typically collaborate with multidisciplinary teams?

Climate Research Scientists with expertise in Machine Learning often work closely with meteorologists, data engineers, environmental scientists, and policy experts. They contribute by developing and refining predictive models using large climate datasets, while also translating complex outputs into actionable insights for decision-makers. Collaboration often involves regular team meetings, joint publications, and integrating domain expertise to ensure that the models are both scientifically robust and practically useful. Strong communication skills are valuable, as these scientists frequently explain technical concepts to colleagues from non-technical backgrounds.

What is the difference between Climate Research Scientist Machine Learning vs Climate Data Analyst?

AspectClimate Research Scientist Machine LearningClimate Data Analyst
Required CredentialsMaster's or PhD in Climate Science, Data Science, or related fields; knowledge of machine learningBachelor's or Master's in Environmental Science, Data Analysis, or related fields; proficiency in data tools
Work EnvironmentResearch labs, universities, environmental agencies, often collaborative and interdisciplinaryGovernment agencies, consulting firms, NGOs; focus on data processing and reporting
Employer & Industry UsageResearch institutions, academia, environmental organizations integrating machine learningPolicy organizations, environmental consultancies analyzing climate data

While both roles involve climate data, Climate Research Scientist Machine Learning focuses on developing predictive models using advanced algorithms, whereas Climate Data Analysts primarily process and interpret climate datasets to inform decisions. The former requires more specialized knowledge in machine learning techniques, while the latter emphasizes data management and reporting skills.

What are popular job titles related to Climate Research Scientist Machine Learning jobs in Washington?

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

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

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

What cities in Washington are hiring for Climate Research Scientist Machine Learning jobs?

Cities in Washington with the most Climate Research Scientist Machine Learning job openings:

Research Scientist and AI and Machine Learning

AIToolboard

Ashburn, VA โ€ข On-site

$130 - $180/hr

Other

Medical, Life, Retirement, PTO

Posted yesterday

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.

#J-18808-Ljbffr