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Climate Research Scientist Machine Learning Jobs in Renton, WA

About the Role We are seeking a curious and motivated AI Research Scientist to invent and advance machine learning methods for biological discovery at scale. Rather than primarily applying ...

D. in Computer Science, Machine Learning, Robotics, Physics, or a related field, or equivalent ... Background in scientific/structured models (molecular modeling, materials science, weather/climate)

About the Role We are seeking a curious and motivated AI Research Scientist to invent and advance machine learning methods for biological discovery at scale. Rather than primarily applying ...

AI Research Scientist, Robotics Responsibilities: * Perform fundamental and applied research to ... Develop algorithms based on state-of-the-art machine learning and neural network methodologies

The ideal Research Scientist candidate will use their skills in system design and modeling and ... Develop algorithms based on state-of-the-art machine learning and neural network methodologies

This involves developing sophisticated machine learning and large language models (LLMs) to ... You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain ...

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Climate Research Scientist Machine Learning information

See Renton, WA salary details

$56.8K

$146.4K

$195.7K

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

As of Jul 30, 2026, the average yearly pay for climate research scientist machine learning in Renton, WA is $146,359.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,900.00 and $194,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Climate Research Scientist specializing in Machine Learning, and why are they important?

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.

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.

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 job categories do people searching Climate Research Scientist Machine Learning jobs in Renton, WA look for? The top searched job categories for Climate Research Scientist Machine Learning jobs in Renton, WA are:
What cities near Renton, WA are hiring for Climate Research Scientist Machine Learning jobs? Cities near Renton, WA with the most Climate Research Scientist Machine Learning job openings:

Research Scientist, Machine Learning - Audio

Meta

Redmond, WA • On-site

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Posted 16 days ago


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At Meta's Reality Labs Research, our goal is to make consumer virtual, augmented, and mixed reality experiences. Come work alongside scientists and engi...


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