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Climate Research Scientist Machine Learning Jobs

Horizon Robotics

Research Scientist

Cupertino, CA · Hybrid

$150K - $300K/yr

We are looking for someone with expertise in and enthusiasm for machine learning research, especially in Robotics, Embodied AI, Reinforcement learning (RL) , etc. As a Research Scientist in the team ...

Horizon Robotics

Research Scientist

Cupertino, CA · On-site

$150K - $300K/yr

We are looking for someone with expertise in and enthusiasm for machine learning research, especially in Robotics, Embodied AI, Reinforcement learning (RL) , etc. As a Research Scientist in the team ...

STR

Senior Research Scientist - Machine Leaning

Woburn, MA · On-site

$105K - $134K/yr

They are seeking a Senior Research Scientist to develop AI/ML algorithms for signals exploitation ... deep learning tools (e.g., PyTorch, JAX, TensorFlow) • Ability to perform experiment design ...

Rule14

Be Seen First

Data Scientist Machine Learning

Santa Monica, CA · On-site

$75K - $100K/yr

As a Data Scientist Machine Learning, you will work within a small data science team focusing on predictive modeling, natural language processing, computer vision, recommender systems, and OCR ...

STR

Senior Research Scientist - Machine Leaning

Woburn, MA · On-site

$139K - $165K/yr

As a Senior Research Scientist at STR, you will help develop disruptive technologies focused on ... Experience building and training neural networks using standard deep learning tools (e.g., PyTorch ...

MANTECH

Research Scientist

Catonsville, MD · On-site

The Research Scientist will support advanced research initiatives focused on HPC (High-Performance Computing) and ML (Machine Learning) benchmarks. In this role, you will contribute to the ...

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All JobsClimate Research Scientist Machine Learning Jobs

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.

Associate Research Scientist - Machine Learning, Center for Computational Mathematics (Joint with...

Flatiron Institute

NY • On-site

Full-time

Posted 5 days ago

Job description

Description
Organizational Overview
The Simons Foundation is a private foundation established in 1994 in New York City by Jim and Marilyn Simons. With an annual grants and programs budget of $300 million, the foundation's mission is to advance the frontiers of research in mathematics and the basic sciences. The foundation pursues its mission through its grant-making division, comprising programs in Mathematics & Physical Sciences, Life Sciences, Education & Outreach and autism research, and through its internal research division, the Flatiron Institute.
The Flatiron Institute, an internal research division of the Simons Foundation, is a community of scientists who are working to use modern computational tools to advance our understanding of science both through the analysis of large, rich datasets and through the simulations of physical processes. Our mission is to advance scientific research through computational methods, including data analysis, theory, modeling and simulation.
Directed by Dr. Leslie Greengard, the mission at the Flatiron Institute's Center for Computational Mathematics is to create new mathematical approaches, algorithms and software to advance scientific research in multiple disciplines, often in collaboration with other Flatiron Centers. CCM has particularly strong research groups in the areas of numerical analysis, image and signal processing, computational statistics, and machine learning.
Please see https://www.simonsfoundation.org/flatiron/center-for-computational-mathematics/ for a full description of the goals of the research groups and science staff
Position Summary
The Department of Computer Science at The Cooper Union for the Advancement of Science and Art, jointly with the Center for Computational Mathematics (CCM) of the Simons Foundation's Flatiron Institute invites outstanding candidates to apply for a joint computer science faculty position in the general area of machine learning.
The position is a 50-50 joint appointment between The Cooper Union and CCM, with the appointee allocating half of their effort in each place.
At The Cooper Union, the position is a tenured track full-time faculty position in computer science and will be engaged in accordance with Cooper Union's relevant policies and procedures. At CCM, the position will be at the Associate Research Scientist level, in accordance with the Simons Foundation's relevant policies and procedures.
The position is based at the Simons Foundation and The Cooper Union offices in New York City. It is expected that, subject to satisfactory progress in research, the Associate Research Scientist appointment at CCM will last for the duration of three years; afterwards, the joint appointment will end and the person in this position will continue with their faculty appointment at The Cooper Union.
Essential Functions/Responsibilities
Expertise in all areas of machine learning including deep learning, Bayesian statistics, probabilistic modeling, optimization, learning theory, high dimensional data analysis and visualization, computer vision, and applications of machine learning for science. The candidate should be capable of teaching broadly across the undergraduate computer science curriculum, including courses such as introductory programming, data structures and algorithms, and advising project courses at all levels.
  • Conduct research in a scientific area of relevance to the CCM and/or develop and implement novel algorithms and codes needed for CCM-related research
  • Publish research in refereed scientific and technical journals and present research at scientific conferences
  • Provide publicly available software for use by the scientific community
  • Manage and participate in collaborative efforts within the Flatiron Institute and the Simons Foundation, as well as outside scientific collaborators
  • Assist in the organization of CCM-related workshops, conferences and group seminars
  • Supervise research conducted by Flatiron research fellows and graduate and undergraduate students from neighboring institutions
  • Mentor summer students and assist in the organization of summer programs
  • Perform any other duties or tasks as assigned or required

Qualifications
Minimum Qualifications:
An earned doctorate in computer science or closely related area of computational science and engineering is required. Interested and qualified candidates should submit in one searchable PDF document.
Education
  • An earned doctorate in computer science or closely related area of computational science and engineering is required.

Experience:
  • Two or more years of postgraduate research experience
  • Ability to do original and outstanding research in machine learning
  • Demonstrated expertise in software and algorithm development, computational methods, data analysis, modeling, machine learning, high-performance and parallel computing, or scientific simulation;
  • Expertise in mathematical modeling, analysis and/or scientific computation, scientific software and algorithm development, and data analysis;
  • Ability to work well in an interdisciplinary environment, and to collaborate with experimentalists;
  • Oral and written communication, data documentation, and presentation skills required;
  • Ability to handle multiple projects at the same time required; and,
  • Ability to present research and other types of work, internally and externally

Application Instructions
Required Application Materials
The application materials should include:
  • A cover letter that addresses interest in the joint position and how you envision your teaching and research will contribute to both institutions
  • A current curriculum vitae
  • A statement of your teaching philosophy (typically 1-2 pages)
  • A research statement that addresses your current activities and interests, your future plans and goals. This statement should specifically address how you would make use of the joint appointment and involve undergraduates in your research program (4 pages maximum).
  • One or two representative published research papers in PDF format.
  • Three confidential reference letters submitted directly to each institution.

Review of applications is ongoing with a priority deadline of December 20th, 2025 and will continue until the position is filled.
This is a unionized position at Cooper Union. This is a non-union position at Simons Foundation.
Important: in order to be considered for this joint appointment, candidates must submit their application to both CCM and Cooper Union. Click here to be directed to the Cooper Union application.
Nominations and reference letters should be sent to hr@cooper.edu and questions may be sent to Department Chair Sam Keene at sam.keene@cooper.edu. Letters should be submitted to CCM via Interfolio.
Compensation and Benefits
  • The full-time annual compensation range for this position is $115,000- $130,000.
  • In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package.

Apply