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Climate Research Scientist Machine Learning Jobs

ISEE

Research Scientist - Machine Learning

... Conducting research in the areas of: Robotics, Artificial Intelligence, Machine Learning ... in Robotics, Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical ...

STR

Lead Research Scientist - Machine Learning

Woburn, MA · On-site

$174K - $220K/yr

... machine learning, statistics, estimation theory, and information theory algorithms for signals ... The Role As a Lead Research Scientist at STR, you will help develop disruptive technologies focused ...

STR

Lead Research Scientist - Machine Learning

Woburn, MA · On-site

$174K - $220K/yr

... machine learning, statistics, estimation theory, and information theory algorithms for signals ... The Role As a Lead Research Scientist at STR, you will help develop disruptive technologies focused ...

STR

Lead Research Scientist - Machine Learning

Boston, MA

$174K - $220K/yr

... machine learning, statistics, estimation theory, and information theory algorithms for signals ... The Role As a Lead Research Scientist at STR, you will help develop disruptive technologies focused ...

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Climate Research Scientist Machine Learning information

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$50.5K

$130.1K

$174K

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

As of Jun 19, 2026, the average yearly pay for climate research scientist machine learning in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 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.

Is AI working on climate change?

Climate research scientists using machine learning develop AI models to analyze climate data, improve climate predictions, and identify patterns related to environmental change. These applications help inform policy decisions and support climate mitigation efforts, making AI a valuable tool in addressing climate change challenges.

Are climate scientists in demand?

Climate research scientists with expertise in machine learning are in increasing demand due to the growing focus on climate change mitigation and adaptation. Employers seek professionals skilled in data analysis, modeling, and environmental science, often requiring proficiency in programming languages like Python or R. Job opportunities are available in academia, government agencies, and private sector organizations working on climate-related projects.

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.

Will AI replace data scientists in 2050?

As a Climate Research Scientist with machine learning expertise, AI is expected to augment rather than replace data scientists by automating routine tasks and providing advanced analytical tools. Human judgment, domain knowledge, and interpretative skills will remain essential for complex problem-solving and decision-making in data science roles through 2050.

What is the average salary of a Climate Scientist?

The average salary of a Climate Research Scientist varies by experience and location but typically ranges from $60,000 to $100,000 annually. Those with advanced degrees, specialized skills in machine learning, and experience in data analysis tend to earn higher salaries within this field.

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.

More about Climate Research Scientist Machine Learning jobs
What cities are hiring for Climate Research Scientist Machine Learning jobs? Cities with the most Climate Research Scientist Machine Learning job openings:
What states have the most Climate Research Scientist Machine Learning jobs? States with the most job openings for Climate Research Scientist Machine Learning jobs include:
What job categories do people searching Climate Research Scientist Machine Learning jobs look for? The top searched job categories for Climate Research Scientist Machine Learning jobs are:
Climate Research Scientist Machine Learning jobs near you
Infographic showing various Climate Research Scientist Machine Learning job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.
Research Scientist - Machine Learning

Research Scientist - Machine Learning

ISEE

Remote

Full-time

Posted 15 days ago

Job description

ISEE is seeking full-time Research Scientists to join our team. The ideal candidate has several years of research/work experience.
Role responsibilities include:
- Leading research contributing to the development of humanistic AI for autonomous systems
- Conducting research in the areas of: Robotics, Artificial Intelligence, Machine Learning, Perception, Modeling, Simulation, Applied Mathematics, Probabilistic Modeling and Inference or related areas
- Collaborating with engineering and business teams to develop novel solutions to real-world problems
- Designing experiments and metrics for benchmarking resultsPublishing research in top-tier conferences and journals
Qualifications:
- PhD in Robotics, Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Control Engineering, Machine Learning, Statistics, or a related field
- Passionate about self-driving vehicles and real-world robotics solutions.
- Experience collecting, processing, and analyzing real-world data.
- Strong presentation and communication skills.
Recommended
- Publication record in top-tier conferences in Robotics and related fields.
- Programming experience, ideally with Python and/or C++.
- Robotics experience is a plus.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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