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Climate Research Scientist Machine Learning Jobs in Basking Ridge, NJ

Oxman

Machine Learning Research Engineer

New York, NY · On-site

$142K - $184K/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 ...

Meta

Research Scientist - Reality Labs

New York, NY

$184K/yr

Reality Labs at Meta is seeking a Research Scientist with deep expertise in Large Language Models ... Experience developing machine learning models at scale from inception to impact * 5+ years of ...

Neara

Principal Research Scientist - Risk

New York, NY · On-site

$180K - $220K/yr

We use advanced machine learning to create engineering-grade, physics enabled digital twins of ... and climate hazard; outages in power systems; and reliability engineering. What We Offer: * A ...

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All JobsClimate Research Scientist Machine Learning JobsClimate Research Scientist Machine Learning Jobs in Basking Ridge, NJ

Climate Research Scientist Machine Learning information

See Basking Ridge, NJ salary details

$52K

$134.1K

$179.3K

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

As of Aug 22, 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 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 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
Infographic showing various Climate Research Scientist Machine Learning job openings in Basking Ridge, NJ as of June 2026, with employment types broken down into 52% Full Time, 46% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $134,093 per year, or $64.5 per hour.

Research Scientist, Machine Learning / AI

Basis Research Institute

Manhattan, NY • On-site

Full-time

Re-posted 18 hours ago

Job description

Job Summary:
Basis Research Institute is a nonprofit applied AI research organization focused on understanding and building intelligence as well as advancing society's ability to solve intractable problems. The Research Scientist will lead efforts to develop a deeper understanding of the principles of intelligence and work collaboratively to solve scientific and societal challenges.
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
Qualifications:
Required:
• Demonstrated ability to do scientific research that is of high-quality. Possible ways to demonstrate this include publications, technical reports, and software projects.
Preferred:
• 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.
Company:
Basis is a nonprofit applied research organization with two mutually reinforcing goals. The first is to understand and build intelligence. Founded in 2022, the company is headquartered in New York, USA, with a team of 11-50 employees. The company is currently Early Stage.

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