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Climate Research Scientist Machine Learning Jobs in Basking Ridge, NJ

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AI Research Scientist

New York, NY · On-site +1

Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. * Proven experience in AI research, including developing algorithms and models. * Proficiency in ...

Codertal

AI Research Scientist

Union, NJ · On-site +1

Codertal is hiring an AI Research Scientist for a remote opportunity in the European Union on a B2B ... Required Skills and Experience Strong background in machine learning , deep learning , or AI ...

Oxman

Machine Learning Research Engineer

New York, NY · On-site

$142K - $224K/yr

Working across disciplines-from architecture and ecology to materials science and computation, we ... and climate-resilient developments. Together with our clients, we are designing biodiverse ...

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Climate Research Scientist Machine Learning information

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$52K

$134.1K

$179.3K

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

As of May 29, 2026, the average yearly pay for climate research scientist machine learning in Basking Ridge, NJ is $134,093.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $178,300.00 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.

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 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 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 Basking Ridge, NJ? For Climate Research Scientist Machine Learning jobs in Basking Ridge, NJ, the most frequently searched job titles are:
What cities near Basking Ridge, NJ are hiring for Climate Research Scientist Machine Learning jobs? Cities near Basking Ridge, NJ with the most Climate Research Scientist Machine Learning job openings:
Climate Research Scientist Machine Learning jobs near you

Research Scientist, Machine Learning / AI

Basis Research

New York, NY • On-site

$120K - $180K/yr

Full-time

Posted 11 days ago

Job description

About Basis
Basis is a nonprofit applied AI research organization with two mutually reinforcing goals.
The first is to understand and build intelligence. This means to establish the mathematical principles of what it means to reason, to learn, to make decisions, to understand, and to explain; and to construct software that implements these principles.
The second is to advance society's ability to solve intractable problems. This means expanding the scale, complexity, and breadth of problems that we can solve today, and even more importantly, accelerating our ability to solve problems in the future.
To achieve these goals, we're building both a new technological foundation that draws inspiration from how humans reason, and a new kind of collaborative organization that puts human values first.
About the Role
Research scientists lead Basis' efforts to develop a deeper understanding of the conceptual, mathematical, and computational principles of intelligence.
We are looking for people who are technically excellent, and who value probing concepts at their foundations. Our research scientists/engineers aspire to do rigorous, high-quality, robust science, but are not afraid to tinker, make mistakes, and explore radically different ideas in order to get there.
Basis is a collaborative effort, both internally and with our external partners; we are looking for people who enjoy working with others on problems larger than ones they can tackle alone.
We expect you to:
  • Have demonstrated an ability to do scientific research that is of high-quality. Possible ways to demonstrate this include publications, technical reports, and software projects.

In addition, the following would be an advantage:
  • PhD (or equivalent experience) in technical areas, including: statistics, programming languages, machine learning, computational neuroscience, cognitive science, physics, mathematics.
  • Excited about solving real world problems and having positive societal impact.
Responsibilities
  • Develop and explore computational theories of intelligence, including reasoning, learning, and decision-making.
  • In close collaboration with domain experts inside and especially outside Basis, work as a team member to help solve scientific and societal problems
  • Distill insights from solving problems into more general mathematical and computational theories
  • Develop and maintain open-source software
  • (Optionally) Publish and present findings in journals and conferences
  • Contribute to the culture and direction of Basis
Role Details
Exceptional candidates who may not meet all of the following criteria are still encouraged to apply.
  • FT/PT: This is a full-time position
  • Hours: While we prioritize in-person collaboration for its benefits to creative work, there is a degree of flexibility in your working hours. Be prepared to attend multi-day Basis-wide in-person events.
  • Location: This role is in-person in either New York City or Cambridge, MA.
  • Salary range: Competitive salary and bonuses

Non-Discrimination Notice
Basis Research Institute provides equal employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or genetics and prohibits discrimination based on all protected characteristics.
Privacy Notice
By submitting your application, you grant Basis permission to use your materials for both hiring evaluation and recruitment-related research and development purposes. Your information may be processed in different countries, including the US. You retain copyright while providing Basis a license to use these materials for the stated purposes.
Read our full Global Data Privacy Notice here.

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